Repository: Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit (language: python)

Issue:
BUG: Some nodes get stuck in Running state but never process/finish
Often happens with `srr_pipeline.srtkN4BiasFieldCorrection`, `srr_pipeline.srtkTVSuperResolution`, `srr_pipeline.srtkImageReconstruction`


Discussion / hints:

Fix patch:
diff --git a/.circleci/config.yml b/.circleci/config.yml
index 578b25a2a..538c57836 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -242,8 +242,7 @@ jobs:
                 /bids_dir /output_dir participant --participant_label 01 \
                 --param_file /bids_dir/code/participants_params.json \
                 --openmp_nb_of_cores 1 \
-                --nipype_nb_of_cores 1 \
-                --profiling
+                --nipype_nb_of_cores 1
 
             # Rename log
             mv /tmp/src/mialsuperresolutiontoolkit/data/code/log.txt \
@@ -391,8 +390,7 @@ jobs:
                 /bids_dir /output_dir participant --participant_label 01 \
                 --param_file /bids_dir/code/participants_params.json \
                 --openmp_nb_of_cores 1 \
-                --nipype_nb_of_cores 1 \
-                --profiling
+                --nipype_nb_of_cores 1
       - run:
           name: "Test-04 - Checking outputs of MIALSRTK BIDS App run"
           command: |
diff --git a/.dockerignore b/.dockerignore
index 906ce597e..568eb05b3 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -11,8 +11,11 @@ ehthumbs.db
 Icon?
 Thumbs.db
 
-docs
-docs/*
+documentation
+documentation/*
+
+data
+data/*
 
 debian
 debian/*
@@ -27,4 +30,12 @@ _build
 _static
 _templates
 
+notebooks
+notebooks/*
 *.ipynb_checkpoints
+
+examples
+examples/*
+
+scripts
+scripts/*
diff --git a/Dockerfile b/Dockerfile
index feb7f39f7..ef095da60 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -3,6 +3,7 @@ FROM ubuntu:14.04
 ##############################################################
 # Ubuntu system setup
 ##############################################################
+ENV CONDA_ENV_PATH /opt/conda
 RUN apt-get update && \
     apt-get install software-properties-common -y && \
     apt-add-repository ppa:saiarcot895/myppa -y && \
@@ -36,14 +37,14 @@ RUN apt-get update && \
         libncurses5-dev \
     libann-dev && \
     curl -sSL https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o /tmp/miniconda.sh && \
-    bash /tmp/miniconda.sh -bfp /opt/conda && \
+    bash /tmp/miniconda.sh -bfp "$CONDA_ENV_PATH" && \
     rm -rf /tmp/miniconda.sh && \
     rm -rf /var/lib/apt/lists/*
 
 ##############################################################
 # Setup and update miniconda
 ##############################################################
-ENV PATH "/opt/conda/bin:$PATH"
+ENV PATH "$CONDA_ENV_PATH/bin:$PATH"
 RUN conda update conda && \
     conda clean --all --yes
 
@@ -54,29 +55,12 @@ RUN groupadd -r -g 1000 mialsrtk && \
     useradd -r -M -u 1000 -g mialsrtk mialsrtk
 
 ##############################################################
-# Copy only code inside the docker image
+# Copy and compile C++ MIALSRTK code
 ##############################################################
 # Copy only C++ source code
 RUN mkdir -p /opt/mialsuperresolutiontoolkit/src
 COPY src/ /opt/mialsuperresolutiontoolkit/src/
 
-# Copy PyMIALSRTK code
-RUN mkdir -p /opt/mialsuperresolutiontoolkit/pymialsrtk
-COPY pymialsrtk/ /opt/mialsuperresolutiontoolkit/pymialsrtk/
-COPY setup.py /opt/mialsuperresolutiontoolkit/setup.py
-COPY get_version.py /opt/mialsuperresolutiontoolkit/get_version.py
-
-# Copy LICENSE and README files
-COPY LICENSE.txt /opt/mialsuperresolutiontoolkit/LICENSE.txt
-COPY README.md /opt/mialsuperresolutiontoolkit/README.md
-COPY .zenodo.json /opt/mialsuperresolutiontoolkit/.zenodo.json
-
-# Copy docker directories
-COPY docker/ /opt/mialsuperresolutiontoolkit/docker/
-
-##############################################################
-# Compile C++ MIALSRTK tools
-##############################################################
 # Create the build directory and set the working directory
 # to this directory
 WORKDIR /opt/mialsuperresolutiontoolkit
@@ -93,14 +77,100 @@ RUN cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local -D USE_
 ##############################################################
 # Make MIALSRTK happy
 ##############################################################
-ENV BIN_DIR "/usr/local/bin" 
+ENV BIN_DIR "/usr/local/bin"
 ENV PATH "${BIN_DIR}:$PATH"
 
+##############################################################
+# Python cache setup and creation of conda environment
+##############################################################
+# Create .cache and set right permissions for generated
+# Python egg cache
+RUN mkdir /.cache && \
+    chmod -R 777 /.cache
+
+# Set the working directory to /app
+WORKDIR /app
+RUN chmod -R 777 /app
+
+# Store command related variables
+ENV MY_CONDA_PY3ENV "pymialsrtk-env"
+# This is how you will activate this conda environment
+ENV CONDA_ACTIVATE "source $CONDA_ENV_PATH/bin/activate $MY_CONDA_PY3ENV"
+
+# Create the conda environment
+COPY docker/bidsapp/environment.yml /app/environment.yml
+RUN conda env create -f /app/environment.yml
+
+##############################################################
+# Setup for scikit-image
+#
+# Commented for now as it causes issues with Singularity
+# for scikit-image = 0.18.3 with OSError:
+# [Errno 30] Read-only file system: '/app/skimage/0.18.3/data'
+#
+# The creation of the datadir for skimage has been introduced
+# in 0.17 and so prior versions such as 0.16.2 should not
+# perform this process, the version that is now used.
+#
+# See https://github.com/scikit-image/scikit-image/issues/4664
+# for reference.
+#
+# Similar error encountered for:
+#   - fmriprep: https://github.com/nipreps/fmriprep/issues/1777
+#   - mriqc: https://neurostars.org/t/read-only-error-in-mriqc-using-singularity-on-cluster/2022
+#
+##############################################################
+# ENV SKIMAGE_VERSION "0.18.3"
+# ENV SKIMAGE_DATADIR "/app/skimage"
+# RUN mkdir -p "${SKIMAGE_DATADIR}/${SKIMAGE_VERSION}" && \
+#     chmod -R 777 "${SKIMAGE_DATADIR}/${SKIMAGE_VERSION}"
+# RUN . $CONDA_ENV_PATH/bin/activate $MY_CONDA_PY3ENV && \
+#     python -c "import skimage"
+
+##############################################################
+# Setup for tensorflow
+##############################################################
+# Filter out all messages
+# ENV TF_CPP_MIN_LOG_LEVEL "0"
+
+# Make tensorflow happy: Use jemalloc instead of malloc.
+# Jemalloc suffers less from fragmentation when allocating
+# and deallocating large objects
+RUN apt-get update && apt-get install -y libjemalloc-dev && \
+    rm -rf /var/lib/apt/lists/*
+ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so
+
+# Use tcmalloc instead of malloc in TensorFLow
+# that suffers less from fragmentation when
+# allocating and deallocating large objects
+# RUN apt-get update && apt-get install -y google-perftools && \
+#     rm -rf /var/lib/apt/lists/*
+# ENV LD_PRELOAD=/usr/lib/libtcmalloc.so.4
+
 ##############################################################
 # Initialize fake DISPLAY
 ##############################################################
 ENV DISPLAY :0
 
+##############################################################
+# Copy the rest of the files (Pymialsrtk, license, readme and
+# bidsapp entrypoint script) at the end to prevent recompiling
+# again the C++ code even if no change was introduced
+##############################################################
+
+# Copy PyMIALSRTK code
+RUN mkdir -p /opt/mialsuperresolutiontoolkit/pymialsrtk
+COPY pymialsrtk/ /opt/mialsuperresolutiontoolkit/pymialsrtk/
+COPY setup.py /opt/mialsuperresolutiontoolkit/setup.py
+COPY get_version.py /opt/mialsuperresolutiontoolkit/get_version.py
+
+##############################################################
+# Copy LICENSE and README and .zenodo.json contributors files
+##############################################################
+COPY LICENSE.txt /opt/mialsuperresolutiontoolkit/LICENSE.txt
+COPY README.md /opt/mialsuperresolutiontoolkit/README.md
+COPY .zenodo.json /opt/mialsuperresolutiontoolkit/.zenodo.json
+
 ##############################################################
 # Arguments passed to the docker build command
 ##############################################################
diff --git a/README.md b/README.md
index d1ddd6864..23bacc34b 100644
--- a/README.md
+++ b/README.md
@@ -45,7 +45,6 @@ The BIDS App of MIALSRTK has the following command line arguments:
                   [--nipype_nb_of_cores NIPYPE_NB_OF_CORES]
                   [--memory MEMORY]
                   [--masks_derivatives_dir MASKS_DERIVATIVES_DIR]
-                  [--profiling]
                   [-v]
                   bids_dir output_dir {participant}
     
@@ -94,10 +93,6 @@ The BIDS App of MIALSRTK has the following command line arguments:
                             Use manual brain masks found in
                             ``<output_dir>/<masks_derivatives_dir>/ directory``
                             directory
-      --profiling           Save node runtime statistics (processing times, number
-                            of threads, memory) in a JSON-style `run_stats.log`
-                            and in the form of a gantt chart in a HTML
-                            `run_stats.log.html`
       -v, --version         show program's version number and exit
 
 ## Credits 
diff --git a/build_bidsapp.sh b/build_bidsapp.sh
deleted file mode 100644
index 38446c5b6..000000000
--- a/build_bidsapp.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/bin/sh
-CMP_BUILD_DATE="$(date -u +\"%Y-%m-%dT%H:%M:%SZ\")"
-echo "$CMP_BUILD_DATE"
-
-VERSION="v$(python get_version.py)"
-echo "$VERSION"
-
-VCS_REF="$(git rev-parse --verify HEAD)"
-echo "$VCS_REF"
-
-MAIN_DOCKER="sebastientourbier/mialsuperresolutiontoolkit-ubuntu14.04:${VERSION}"
-echo "$MAIN_DOCKER"
-
-docker build --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
-				  --build-arg VCS_REF="$VCS_REF" \
-				  --build-arg VERSION="$VERSION" \
-				  -t "${MAIN_DOCKER}" . \
-
-docker build --no-cache --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
-                             --build-arg VERSION="$VERSION" \
-                             --build-arg VCS_REF="$VCS_REF" \
-                             --build-arg MAIN_DOCKER="$MAIN_DOCKER" \
-                             -t sebastientourbier/mialsuperresolutiontoolkit-bidsapp:"${VERSION}" ./docker/bidsapp
diff --git a/build_sphinx_docs.sh b/build_sphinx_docs.sh
deleted file mode 100644
index 127560f1b..000000000
--- a/build_sphinx_docs.sh
+++ /dev/null
@@ -1,23 +0,0 @@
-#!/usr/bin/bash
-
-realpath() {
-    [[ $1 = /* ]] && echo "$1" || echo "$PWD/${1#./}"
-}
-
-if [[ "$OSTYPE" == "linux-gnu" ]]; then
-        # Linux
-        DIR="$(dirname $(readlink -f "$0"))"
-elif [[ "$OSTYPE" == "darwin"* ]]; then
-        # Mac OSX
-        DIR="$(dirname $(realpath "$0"))"
-fi
-
-echo "Building documentation in $DIR/documentation/_build/html"
-
-OLDPWD="$PWD"
-
-cd "$DIR/documentation"
-make clean
-make html
-
-cd "$OLDPWD"
\ No newline at end of file
diff --git a/docker/bidsapp/Dockerfile b/docker/bidsapp/Dockerfile
index 7384fb701..7d9a42de2 100644
--- a/docker/bidsapp/Dockerfile
+++ b/docker/bidsapp/Dockerfile
@@ -20,29 +20,9 @@ RUN mkdir /bids_dir && \
 RUN mkdir /output_dir && \
     chmod -R 777 /output_dir
 
-##############################################################
-# Create .cache and set right permissions for generated
-# Python egg cache
-##############################################################
-RUN mkdir /.cache && \
-    chmod -R 777 /.cache
-
 ##############################################################
 # Installation of pyMIALSRTK
 ##############################################################
-# Set the working directory to /app
-WORKDIR /app
-
-# Store command related variables
-ENV CONDA_ENV_PATH /opt/conda
-ENV MY_CONDA_PY3ENV "pymialsrtk-env"
-# This is how you will activate this conda environment
-ENV CONDA_ACTIVATE "source $CONDA_ENV_PATH/bin/activate $MY_CONDA_PY3ENV"
-
-# Create the conda environment
-COPY environment.yml /app/environment.yml
-RUN conda env create -f /app/environment.yml
-
 # Set the working directory to /opt/mialsuperresolutiontoolkit and install pymialsrtk
 WORKDIR /opt/mialsuperresolutiontoolkit
 RUN /bin/bash -c 'ls -al && $CONDA_ACTIVATE && pip install .'
@@ -50,18 +30,15 @@ RUN /bin/bash -c 'ls -al && $CONDA_ACTIVATE && pip install .'
 # Set the working directory back to /app
 WORKDIR /app
 
-##############################################################
-# Use jemalloc instead of malloc in TensorFLow
-# that suffers less from fragmentation when
-# allocating and deallocating large objects
-##############################################################
-RUN apt-get update && apt-get install -y libjemalloc-dev && \
-    rm -rf /var/lib/apt/lists/*
-ENV LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so
+# Make nipype profiler happy
+RUN chmod -R 777 /app
 
 ##############################################################
 # Create entrypoint scripts
 ##############################################################
+# Copy BIDSapp python script called by the entrypoint scripts
+COPY run.py /app/run.py
+
 # Copy main BIDSapp entrypoint script
 COPY entrypoints/run_srr.sh /app/run_srr.sh
 RUN chmod 775 /app/run_srr.sh
diff --git a/docker/bidsapp/entrypoints/run_srr.sh b/docker/bidsapp/entrypoints/run_srr.sh
index 709a5fb2f..1b1808d30 100644
--- a/docker/bidsapp/entrypoints/run_srr.sh
+++ b/docker/bidsapp/entrypoints/run_srr.sh
@@ -4,4 +4,4 @@ export && \
 echo "SHELL: $SHELL" && \
 echo "PATH: $PATH" && \
 . activate "${MY_CONDA_PY3ENV}" && \
-xvfb-run -a python /opt/mialsuperresolutiontoolkit/docker/bidsapp/run.py "$@"
\ No newline at end of file
+xvfb-run -a python /app/run.py "$@"
\ No newline at end of file
diff --git a/docker/bidsapp/entrypoints/run_srr_coverage.sh b/docker/bidsapp/entrypoints/run_srr_coverage.sh
index 2c3b62077..996c5ce4e 100644
--- a/docker/bidsapp/entrypoints/run_srr_coverage.sh
+++ b/docker/bidsapp/entrypoints/run_srr_coverage.sh
@@ -5,7 +5,7 @@ echo "SHELL: $SHELL" && \
 echo "PATH: $PATH" && \
 . activate "${MY_CONDA_PY3ENV}" && \
 xvfb-run -a coverage run --source=pymialsrtk \
-/opt/mialsuperresolutiontoolkit/docker/bidsapp/run.py "$@" \
+/app/run.py "$@" \
 |& tee /bids_dir/code/log.txt && \
 coverage html -d /bids_dir/code/coverage_html && \
 coverage xml -o /bids_dir/code/coverage.xml && \
diff --git a/docker/bidsapp/environment.yml b/docker/bidsapp/environment.yml
index 4c5710f2a..c2f58ec68 100644
--- a/docker/bidsapp/environment.yml
+++ b/docker/bidsapp/environment.yml
@@ -8,33 +8,28 @@ channels:
 dependencies:
 - python=3.7.10
 - pip=21.0.1
-- nibabel=3.0.1
-- pandas=1.2.3
-- nipype=1.6.0
-- traits=5.1.2
-- nilearn=0.7.1
+- pandas=1.1.5
+- nipype=1.7.0
+- nilearn=0.8.1
 - pydotplus=2.0.2
-- pandoc=2.11.0.1
-- seaborn=0.11.1
+- pandoc=2.14.2
+- seaborn=0.11.2
+- matplotlib=3.4
+- tensorflow==1.13.1
+- scikit-learn=1.0.1
+- scikit-image=0.16.2
 
 - pip:
     - coverage==5.1
     - duecredit==0.8.0
-    - apptools==4.4.0
     - graphviz
-    - numpy==1.16.6
-    # - niworkflows==0.10.2
-    - tensorflow==2.3.0
-    - tensorflow-estimator==2.3.0
-    - tensorboard==2.3.0
-    - tflearn==0.5.0
+    - tflearn==0.3.2
     - MedPy==0.4.0
     - opencv-python==4.1.0.25
-    - scikit-learn==0.20.3
-    - scikit-image==0.14.2
     - sphinx==1.8.5
     - sphinx_rtd_theme==0.4.3
     - sphinx-argparse==0.2.5
     - nbsphinx==0.7.1
+    - sphinxcontrib-apidoc==0.3.0
+    - sphinxcontrib-napoleon==0.7
     - recommonmark==0.5.0
-    - matplotlib==3.4
diff --git a/docker/bidsapp/run.py b/docker/bidsapp/run.py
index 7b8940032..0d8071ba2 100644
--- a/docker/bidsapp/run.py
+++ b/docker/bidsapp/run.py
@@ -146,8 +146,7 @@ def main(bids_dir, output_dir,
          dict_custom_interfaces=None,
          nipype_number_of_cores=1,
          openmp_number_of_cores=1,
-         memory=0,
-         save_profiler_log=False):
+         memory=0):
     """Main function that creates and executes the workflow of the BIDS App on one subject.
 
     It creates an instance of the class :class:`pymialsrtk.pipelines.anatomical.srr.AnatomicalPipeline`,
@@ -196,9 +195,6 @@ def main(bids_dir, output_dir,
         Maximal amount of memory used by the workflow
         (Default: 0, workflow uses all available memory)
 
-    save_profiler_log : bool (optional)
-        Save the node profiler (runtime stats) log. (default is False)
-
     """
 
     if paramTV is None:
@@ -209,7 +205,7 @@ def main(bids_dir, output_dir,
         session = 'ses-' + session
 
     if srID is None:
-        srID = "01"
+        srID = 1
 
     # Initialize an instance of AnatomicalPipeline
     pipeline = AnatomicalPipeline(bids_dir,
@@ -227,12 +223,10 @@ def main(bids_dir, output_dir,
                                   )
 
     # Create the super resolution Nipype workflow
-    pipeline.create_workflow(save_profiler_log=save_profiler_log)
+    pipeline.create_workflow()
 
     # Execute the workflow
-    res = pipeline.run(number_of_cores=nipype_number_of_cores,
-                       memory=memory,
-                       save_profiler_log=save_profiler_log)
+    res = pipeline.run(memory=memory)
 
     return res
 
@@ -279,6 +273,7 @@ def main(bids_dir, output_dir,
 
             for sr_params in sr_list:
 
+                srID = sr_params['sr-id'] if 'sr-id' in sr_params.keys() else None
                 ses = sr_params["session"] if "session" in sr_params.keys() else None
                 stacks = sr_params['stacks'] if 'stacks' in sr_params.keys() else None
                 paramTV = sr_params['paramTV'] if 'paramTV' in sr_params.keys() else None
@@ -286,7 +281,7 @@ def main(bids_dir, output_dir,
 
                 dict_custom_interfaces = sr_params['custom_interfaces'] if 'custom_interfaces' in sr_params.keys() else None
 
-                if "sr-id" not in sr_params.keys():
+                if srID is None:
                     print('WARNING: Do not process subjects %s because of missing parameters.' % sub)
                     continue
 
@@ -296,14 +291,13 @@ def main(bids_dir, output_dir,
                            session=ses,
                            p_stacks=stacks,
                            paramTV=paramTV,
-                           srID=sr_params['sr-id'],
+                           srID=srID,
                            masks_derivatives_dir=args.masks_derivatives_dir,
                            masks_desc=masks_desc,
                            dict_custom_interfaces=dict_custom_interfaces,
                            nipype_number_of_cores=nipype_nb_of_cores,
                            openmp_number_of_cores=openmp_nb_of_cores,
-                           memory=args.memory,
-                           save_profiler_log=args.profiling)
+                           memory=args.memory)
         else:
             print('WARNING: Do not process subjects %s because of missing configuration.' % sub)
 
diff --git a/documentation/_static/run_stats.log.html b/documentation/_static/run_stats.log.html
deleted file mode 100644
index 796e2a3ec..000000000
--- a/documentation/_static/run_stats.log.html
+++ /dev/null
@@ -1,1253 +0,0 @@
-<!DOCTYPE html>
-    <head>
-        <style>
-            #content{
-                width:99%;
-                height:100%;
-                position:absolute;
-            }
-            .node{
-                background-color:#7070FF;
-                border-radius: 5px;
-                position:absolute;
-                width:20px;
-                white-space:pre-wrap;
-            }
-            .line{
-                position: absolute;
-                color: #C2C2C2;
-                opacity: 0.5;
-                margin: 0px;
-            }
-            .time{
-                position: absolute;
-                font-size: 16px;
-                color: #666666;
-                margin: 0px;
-            }
-            .bar{
-                position: absolute;
-                height: 1px;
-                opacity: 0.7;
-            }
-            .dot{
-                position: absolute;
-                width: 1px;
-                height: 1px;
-                background-color: red;
-            }
-            .label {
-                width:20px;
-                height:20px;
-                opacity: 0.7;
-                display: inline-block;
-            }
-        </style>
-    </head>
-    <body>
-        <div id="content">
-            <div style="display:inline-block;">
-    <p>Start: 2021-03-23 21:45:18</p><p>Finish: 2021-03-23 22:00:58</p><p>Duration: 15.66 minutes</p><p>Nodes: 45</p><p>Cores: 1</p>
-    </div>
-    <div style="display:inline-block;margin-left:60px;vertical-align: top;">
-        <p><span><div class="label" style="background-color:#90BBD7;"></div> Estimated Resource</span></p>
-        <p><span><div class="label" style="background-color:#03969D;"></div> Actual Resource</span></p>
-        <p><span><div class="label" style="background-color:#f00;"></div> Failed Node</span></p>
-    </div>
-    <hr class='line' width='98%' style='top:220px;'><p class='time' style='top:200px;'> 21:45 </p><hr class='line' width='98%' style='top:720px;'><p class='time' style='top:700px;'> 21:55 </p><hr class='line' width='98%' style='top:1220px;'><p class='time' style='top:1200px;'> 22:05 </p><div class='node' style='left:60px;top:220.0px;height:3px;background-color:#7070FF;'title='data_grabber
-duration:0.0034372166666666666
-start:2021-03-23 21:45:18
-end:2021-03-23 21:45:19'></div><div class='node' style='left:60px;top:221.70743166666668px;height:3px;background-color:#9B9BFF;'title='t2ws_filter_prior_masks
-duration:0.0033797666666666665
-start:2021-03-23 21:45:20
-end:2021-03-23 21:45:21'></div><div class='node' style='left:60px;top:224.9904925px;height:3.3564716666666667px;background-color:#4E4EB2;'title='_brainExtraction0
-duration:0.10712943333333333
-start:2021-03-23 21:45:24
-end:2021-03-23 21:45:31'></div><div class='node' style='left:60px;top:231.66871666666665px;height:3.100386666666666px;background-color:#4E4EB2;'title='_brainExtraction1
-duration:0.10200773333333334
-start:2021-03-23 21:45:32
-end:2021-03-23 21:45:39'></div><div class='node' style='left:60px;top:238.3402725px;height:3.151486666666667px;background-color:#9B9BFF;'title='_brainExtraction2
-duration:0.10302973333333335
-start:2021-03-23 21:45:40
-end:2021-03-23 21:45:47'></div><div class='node' style='left:60px;top:246.68153166666667px;height:3px;background-color:#7070FF;'title='stackOrdering
-duration:0.009143033333333333
-start:2021-03-23 21:45:50
-end:2021-03-23 21:45:51'></div><div class='node' style='left:60px;top:248.35257833333333px;height:3px;background-color:#2D2D66;'title='filenames_gen
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-end:2021-03-23 21:46:54'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:300.075px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:46:54
-end:2021-03-23 21:46:55'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:300.543px;'title='0.000 GB
-duration:0.057
-start:2021-03-23 21:46:55
-end:2021-03-23 21:46:58'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:303.411px;'title='0.200 GB
-duration:0.012
-start:2021-03-23 21:46:58
-end:2021-03-23 21:46:59'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:304.006px;'title='0.000 GB
-duration:0.022
-start:2021-03-23 21:46:59
-end:2021-03-23 21:47:00'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:305.087px;'title='0.200 GB
-duration:0.033
-start:2021-03-23 21:47:00
-end:2021-03-23 21:47:02'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:306.756px;'title='0.000 GB
-duration:0.033
-start:2021-03-23 21:47:02
-end:2021-03-23 21:47:04'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:308.421px;'title='0.200 GB
-duration:0.011
-start:2021-03-23 21:47:04
-end:2021-03-23 21:47:05'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:308.950px;'title='0.000 GB
-duration:0.023
-start:2021-03-23 21:47:05
-end:2021-03-23 21:47:06'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:310.096px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:47:06
-end:2021-03-23 21:47:07'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:310.566px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:47:07
-end:2021-03-23 21:47:08'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:311.756px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:47:08
-end:2021-03-23 21:47:09'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:312.219px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:47:09
-end:2021-03-23 21:47:10'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:313.424px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:47:10
-end:2021-03-23 21:47:11'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:313.885px;'title='0.000 GB
-duration:0.058
-start:2021-03-23 21:47:11
-end:2021-03-23 21:47:14'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:316.764px;'title='0.200 GB
-duration:0.008
-start:2021-03-23 21:47:14
-end:2021-03-23 21:47:15'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:317.172px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 21:47:15
-end:2021-03-23 21:47:16'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:318.427px;'title='0.200 GB
-duration:0.008
-start:2021-03-23 21:47:16
-end:2021-03-23 21:47:17'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:318.836px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 21:47:17
-end:2021-03-23 21:47:18'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:320.099px;'title='0.200 GB
-duration:0.008
-start:2021-03-23 21:47:18
-end:2021-03-23 21:47:19'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:320.508px;'title='0.000 GB
-duration:0.059
-start:2021-03-23 21:47:19
-end:2021-03-23 21:47:22'></div><div class='bar' style='background-color:#90BBD7;height:583.972px;width:200.000px;left:470px; top:323.434px;'title='0.200 GB
-duration:11.719
-start:2021-03-23 21:47:22
-end:2021-03-23 21:59:06'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:909.406px;'title='0.000 GB
-duration:0.026
-start:2021-03-23 21:59:06
-end:2021-03-23 21:59:07'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:910.686px;'title='0.200 GB
-duration:0.010
-start:2021-03-23 21:59:07
-end:2021-03-23 21:59:08'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:911.163px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:59:08
-end:2021-03-23 21:59:09'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:912.341px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:59:09
-end:2021-03-23 21:59:10'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:912.811px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:59:10
-end:2021-03-23 21:59:11'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:914.010px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 21:59:11
-end:2021-03-23 21:59:12'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:914.467px;'title='0.000 GB
-duration:0.058
-start:2021-03-23 21:59:12
-end:2021-03-23 21:59:15'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:917.345px;'title='0.200 GB
-duration:0.012
-start:2021-03-23 21:59:15
-end:2021-03-23 21:59:16'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:917.958px;'title='0.000 GB
-duration:0.021
-start:2021-03-23 21:59:16
-end:2021-03-23 21:59:17'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:919.019px;'title='0.200 GB
-duration:0.034
-start:2021-03-23 21:59:17
-end:2021-03-23 21:59:19'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:920.720px;'title='0.000 GB
-duration:0.033
-start:2021-03-23 21:59:19
-end:2021-03-23 21:59:21'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:922.352px;'title='0.200 GB
-duration:0.012
-start:2021-03-23 21:59:21
-end:2021-03-23 21:59:22'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:922.939px;'title='0.000 GB
-duration:0.022
-start:2021-03-23 21:59:22
-end:2021-03-23 21:59:23'></div><div class='bar' style='background-color:#90BBD7;height:64.502px;width:200.000px;left:470px; top:924.025px;'title='0.200 GB
-duration:1.330
-start:2021-03-23 21:59:23
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:990.527px;'title='0.000 GB
-duration:0.005
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:990.761px;'title='0.200 GB
-duration:0.009
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:44'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:991.190px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 22:00:44
-end:2021-03-23 22:00:45'></div><div class='bar' style='background-color:#90BBD7;height:5.118px;width:200.000px;left:470px; top:992.424px;'title='0.200 GB
-duration:0.142
-start:2021-03-23 22:00:45
-end:2021-03-23 22:00:54'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:999.542px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 22:00:54
-end:2021-03-23 22:00:55'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:1000.777px;'title='0.200 GB
-duration:0.004
-start:2021-03-23 22:00:55
-end:2021-03-23 22:00:56'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:1000.958px;'title='0.000 GB
-duration:0.029
-start:2021-03-23 22:00:56
-end:2021-03-23 22:00:57'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:470px; top:1002.431px;'title='0.200 GB
-duration:0.016
-start:2021-03-23 22:00:57
-end:2021-03-23 22:00:58'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:470px; top:1003.224px;'title='0.000 GB
-duration:0.000
-start:2021-03-23 22:00:58
-end:2021-03-23 22:00:58'></div><p class='time' style='top:198px;left:470px;'>Memory</p><div class='bar' style='background-color:#03969D;height:3.000px;width:23.775px;left:470px; top:220.000px;'title='0.211 GB
-duration:0.003
-start:2021-03-23 21:45:18
-end:2021-03-23 21:45:19'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:220.172px;'title='0.000 GB
-duration:0.031
-start:2021-03-23 21:45:19
-end:2021-03-23 21:45:20'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:23.973px;left:470px; top:221.707px;'title='0.213 GB
-duration:0.003
-start:2021-03-23 21:45:20
-end:2021-03-23 21:45:21'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:221.876px;'title='0.000 GB
-duration:0.062
-start:2021-03-23 21:45:21
-end:2021-03-23 21:45:24'></div><div class='bar' style='background-color:#03969D;height:3.356px;width:58.305px;left:470px; top:224.990px;'title='0.517 GB
-duration:0.107
-start:2021-03-23 21:45:24
-end:2021-03-23 21:45:31'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:230.347px;'title='0.000 GB
-duration:0.026
-start:2021-03-23 21:45:31
-end:2021-03-23 21:45:32'></div><div class='bar' style='background-color:#03969D;height:3.100px;width:59.078px;left:470px; top:231.669px;'title='0.524 GB
-duration:0.102
-start:2021-03-23 21:45:32
-end:2021-03-23 21:45:39'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:236.769px;'title='0.000 GB
-duration:0.031
-start:2021-03-23 21:45:39
-end:2021-03-23 21:45:40'></div><div class='bar' style='background-color:#03969D;height:3.151px;width:60.283px;left:470px; top:238.340px;'title='0.535 GB
-duration:0.103
-start:2021-03-23 21:45:40
-end:2021-03-23 21:45:47'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:243.492px;'title='0.000 GB
-duration:0.064
-start:2021-03-23 21:45:47
-end:2021-03-23 21:45:50'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.317px;left:470px; top:246.682px;'title='0.535 GB
-duration:0.009
-start:2021-03-23 21:45:50
-end:2021-03-23 21:45:51'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:247.139px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:45:51
-end:2021-03-23 21:45:52'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.317px;left:470px; top:248.353px;'title='0.535 GB
-duration:0.003
-start:2021-03-23 21:45:52
-end:2021-03-23 21:45:53'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:248.521px;'title='0.000 GB
-duration:0.030
-start:2021-03-23 21:45:53
-end:2021-03-23 21:45:54'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.317px;left:470px; top:250.024px;'title='0.535 GB
-duration:0.003
-start:2021-03-23 21:45:54
-end:2021-03-23 21:45:55'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:250.193px;'title='0.000 GB
-duration:0.030
-start:2021-03-23 21:45:55
-end:2021-03-23 21:45:56'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.317px;left:470px; top:251.692px;'title='0.535 GB
-duration:0.003
-start:2021-03-23 21:45:56
-end:2021-03-23 21:45:57'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:251.861px;'title='0.000 GB
-duration:0.063
-start:2021-03-23 21:45:57
-end:2021-03-23 21:46:00'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.352px;left:470px; top:255.021px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:00
-end:2021-03-23 21:46:01'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:255.489px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:01
-end:2021-03-23 21:46:02'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.351px;left:470px; top:256.700px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:02
-end:2021-03-23 21:46:03'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:257.169px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:03
-end:2021-03-23 21:46:04'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.351px;left:470px; top:258.367px;'title='0.536 GB
-duration:0.010
-start:2021-03-23 21:46:04
-end:2021-03-23 21:46:05'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:258.865px;'title='0.000 GB
-duration:0.057
-start:2021-03-23 21:46:05
-end:2021-03-23 21:46:08'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:71.796px;left:470px; top:261.699px;'title='0.637 GB
-duration:0.055
-start:2021-03-23 21:46:08
-end:2021-03-23 21:46:12'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:264.439px;'title='0.000 GB
-duration:0.012
-start:2021-03-23 21:46:12
-end:2021-03-23 21:46:12'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:71.729px;left:470px; top:265.042px;'title='0.637 GB
-duration:0.049
-start:2021-03-23 21:46:12
-end:2021-03-23 21:46:15'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:267.498px;'title='0.000 GB
-duration:0.018
-start:2021-03-23 21:46:15
-end:2021-03-23 21:46:16'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:71.732px;left:470px; top:268.375px;'title='0.637 GB
-duration:0.058
-start:2021-03-23 21:46:16
-end:2021-03-23 21:46:20'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:271.266px;'title='0.000 GB
-duration:0.076
-start:2021-03-23 21:46:20
-end:2021-03-23 21:46:24'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.354px;left:470px; top:275.043px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:24
-end:2021-03-23 21:46:25'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:275.511px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:25
-end:2021-03-23 21:46:26'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.354px;left:470px; top:276.717px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:26
-end:2021-03-23 21:46:27'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:277.189px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:27
-end:2021-03-23 21:46:28'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.354px;left:470px; top:278.387px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:28
-end:2021-03-23 21:46:29'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:278.856px;'title='0.000 GB
-duration:0.091
-start:2021-03-23 21:46:29
-end:2021-03-23 21:46:34'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:69.280px;left:470px; top:283.386px;'title='0.615 GB
-duration:0.048
-start:2021-03-23 21:46:34
-end:2021-03-23 21:46:37'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:285.789px;'title='0.000 GB
-duration:0.019
-start:2021-03-23 21:46:37
-end:2021-03-23 21:46:38'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:69.286px;left:470px; top:286.727px;'title='0.615 GB
-duration:0.047
-start:2021-03-23 21:46:38
-end:2021-03-23 21:46:41'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:289.056px;'title='0.000 GB
-duration:0.020
-start:2021-03-23 21:46:41
-end:2021-03-23 21:46:42'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:69.281px;left:470px; top:290.065px;'title='0.615 GB
-duration:0.049
-start:2021-03-23 21:46:42
-end:2021-03-23 21:46:45'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:292.513px;'title='0.000 GB
-duration:0.084
-start:2021-03-23 21:46:45
-end:2021-03-23 21:46:50'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.355px;left:470px; top:296.733px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:50
-end:2021-03-23 21:46:51'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:297.204px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:51
-end:2021-03-23 21:46:52'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.356px;left:470px; top:298.407px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:52
-end:2021-03-23 21:46:53'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:298.867px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:46:53
-end:2021-03-23 21:46:54'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.356px;left:470px; top:300.075px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:46:54
-end:2021-03-23 21:46:55'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:300.543px;'title='0.000 GB
-duration:0.057
-start:2021-03-23 21:46:55
-end:2021-03-23 21:46:58'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.367px;left:470px; top:303.411px;'title='0.536 GB
-duration:0.012
-start:2021-03-23 21:46:58
-end:2021-03-23 21:46:59'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:304.006px;'title='0.000 GB
-duration:0.022
-start:2021-03-23 21:46:59
-end:2021-03-23 21:47:00'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:79.783px;left:470px; top:305.087px;'title='0.708 GB
-duration:0.033
-start:2021-03-23 21:47:00
-end:2021-03-23 21:47:02'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:306.756px;'title='0.000 GB
-duration:0.033
-start:2021-03-23 21:47:02
-end:2021-03-23 21:47:04'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.368px;left:470px; top:308.421px;'title='0.536 GB
-duration:0.011
-start:2021-03-23 21:47:04
-end:2021-03-23 21:47:05'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:308.950px;'title='0.000 GB
-duration:0.023
-start:2021-03-23 21:47:05
-end:2021-03-23 21:47:06'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:113.149px;left:470px; top:310.096px;'title='1.004 GB
-duration:0.009
-start:2021-03-23 21:47:06
-end:2021-03-23 21:47:07'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:310.566px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:47:07
-end:2021-03-23 21:47:08'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:113.149px;left:470px; top:311.756px;'title='1.004 GB
-duration:0.009
-start:2021-03-23 21:47:08
-end:2021-03-23 21:47:09'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:312.219px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:47:09
-end:2021-03-23 21:47:10'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.368px;left:470px; top:313.424px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:47:10
-end:2021-03-23 21:47:11'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:313.885px;'title='0.000 GB
-duration:0.058
-start:2021-03-23 21:47:11
-end:2021-03-23 21:47:14'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.370px;left:470px; top:316.764px;'title='0.536 GB
-duration:0.008
-start:2021-03-23 21:47:14
-end:2021-03-23 21:47:15'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:317.172px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 21:47:15
-end:2021-03-23 21:47:16'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:113.154px;left:470px; top:318.427px;'title='1.004 GB
-duration:0.008
-start:2021-03-23 21:47:16
-end:2021-03-23 21:47:17'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:318.836px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 21:47:17
-end:2021-03-23 21:47:18'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.370px;left:470px; top:320.099px;'title='0.536 GB
-duration:0.008
-start:2021-03-23 21:47:18
-end:2021-03-23 21:47:19'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:320.508px;'title='0.000 GB
-duration:0.059
-start:2021-03-23 21:47:19
-end:2021-03-23 21:47:22'></div><div class='bar' style='background-color:#03969D;height:583.972px;width:200.000px;left:470px; top:323.434px;'title='1.775 GB
-duration:11.719
-start:2021-03-23 21:47:22
-end:2021-03-23 21:59:06'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:909.406px;'title='0.000 GB
-duration:0.026
-start:2021-03-23 21:59:06
-end:2021-03-23 21:59:07'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.387px;left:470px; top:910.686px;'title='0.536 GB
-duration:0.010
-start:2021-03-23 21:59:07
-end:2021-03-23 21:59:08'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:911.163px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:59:08
-end:2021-03-23 21:59:09'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.387px;left:470px; top:912.341px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:59:09
-end:2021-03-23 21:59:10'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:912.811px;'title='0.000 GB
-duration:0.024
-start:2021-03-23 21:59:10
-end:2021-03-23 21:59:11'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.387px;left:470px; top:914.010px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 21:59:11
-end:2021-03-23 21:59:12'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:914.467px;'title='0.000 GB
-duration:0.058
-start:2021-03-23 21:59:12
-end:2021-03-23 21:59:15'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.387px;left:470px; top:917.345px;'title='0.536 GB
-duration:0.012
-start:2021-03-23 21:59:15
-end:2021-03-23 21:59:16'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:917.958px;'title='0.000 GB
-duration:0.021
-start:2021-03-23 21:59:16
-end:2021-03-23 21:59:17'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:78.824px;left:470px; top:919.019px;'title='0.699 GB
-duration:0.034
-start:2021-03-23 21:59:17
-end:2021-03-23 21:59:19'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:920.720px;'title='0.000 GB
-duration:0.033
-start:2021-03-23 21:59:19
-end:2021-03-23 21:59:21'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.387px;left:470px; top:922.352px;'title='0.536 GB
-duration:0.012
-start:2021-03-23 21:59:21
-end:2021-03-23 21:59:22'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:922.939px;'title='0.000 GB
-duration:0.022
-start:2021-03-23 21:59:22
-end:2021-03-23 21:59:23'></div><div class='bar' style='background-color:#03969D;height:64.502px;width:169.199px;left:470px; top:924.025px;'title='1.501 GB
-duration:1.330
-start:2021-03-23 21:59:23
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:990.527px;'title='0.000 GB
-duration:0.005
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.401px;left:470px; top:990.761px;'title='0.536 GB
-duration:0.009
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:44'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:991.190px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 22:00:44
-end:2021-03-23 22:00:45'></div><div class='bar' style='background-color:#03969D;height:5.118px;width:92.308px;left:470px; top:992.424px;'title='0.819 GB
-duration:0.142
-start:2021-03-23 22:00:45
-end:2021-03-23 22:00:54'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:999.542px;'title='0.000 GB
-duration:0.025
-start:2021-03-23 22:00:54
-end:2021-03-23 22:00:55'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.407px;left:470px; top:1000.777px;'title='0.536 GB
-duration:0.004
-start:2021-03-23 22:00:55
-end:2021-03-23 22:00:56'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:1000.958px;'title='0.000 GB
-duration:0.029
-start:2021-03-23 22:00:56
-end:2021-03-23 22:00:57'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:60.407px;left:470px; top:1002.431px;'title='0.536 GB
-duration:0.016
-start:2021-03-23 22:00:57
-end:2021-03-23 22:00:58'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:470px; top:1003.224px;'title='0.000 GB
-duration:0.000
-start:2021-03-23 22:00:58
-end:2021-03-23 22:00:58'></div><p class='time' style='top:198px;left:150px;'>Threads</p><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:220.000px;'title='1 threads
-duration:0.003
-start:2021-03-23 21:45:18
-end:2021-03-23 21:45:19'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:220.172px;'title='0 threads
-duration:0.031
-start:2021-03-23 21:45:19
-end:2021-03-23 21:45:20'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:221.707px;'title='1 threads
-duration:0.003
-start:2021-03-23 21:45:20
-end:2021-03-23 21:45:21'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:221.876px;'title='0 threads
-duration:0.062
-start:2021-03-23 21:45:21
-end:2021-03-23 21:45:24'></div><div class='bar' style='background-color:#90BBD7;height:3.356px;width:200.000px;left:150px; top:224.990px;'title='1 threads
-duration:0.107
-start:2021-03-23 21:45:24
-end:2021-03-23 21:45:31'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:230.347px;'title='0 threads
-duration:0.026
-start:2021-03-23 21:45:31
-end:2021-03-23 21:45:32'></div><div class='bar' style='background-color:#90BBD7;height:3.100px;width:200.000px;left:150px; top:231.669px;'title='1 threads
-duration:0.102
-start:2021-03-23 21:45:32
-end:2021-03-23 21:45:39'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:236.769px;'title='0 threads
-duration:0.031
-start:2021-03-23 21:45:39
-end:2021-03-23 21:45:40'></div><div class='bar' style='background-color:#90BBD7;height:3.151px;width:200.000px;left:150px; top:238.340px;'title='1 threads
-duration:0.103
-start:2021-03-23 21:45:40
-end:2021-03-23 21:45:47'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:243.492px;'title='0 threads
-duration:0.064
-start:2021-03-23 21:45:47
-end:2021-03-23 21:45:50'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:246.682px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:45:50
-end:2021-03-23 21:45:51'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:247.139px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:45:51
-end:2021-03-23 21:45:52'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:248.353px;'title='1 threads
-duration:0.003
-start:2021-03-23 21:45:52
-end:2021-03-23 21:45:53'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:248.521px;'title='0 threads
-duration:0.030
-start:2021-03-23 21:45:53
-end:2021-03-23 21:45:54'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:250.024px;'title='1 threads
-duration:0.003
-start:2021-03-23 21:45:54
-end:2021-03-23 21:45:55'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:250.193px;'title='0 threads
-duration:0.030
-start:2021-03-23 21:45:55
-end:2021-03-23 21:45:56'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:251.692px;'title='1 threads
-duration:0.003
-start:2021-03-23 21:45:56
-end:2021-03-23 21:45:57'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:251.861px;'title='0 threads
-duration:0.063
-start:2021-03-23 21:45:57
-end:2021-03-23 21:46:00'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:255.021px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:46:00
-end:2021-03-23 21:46:01'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:255.489px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:46:01
-end:2021-03-23 21:46:02'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:256.700px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:46:02
-end:2021-03-23 21:46:03'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:257.169px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:46:03
-end:2021-03-23 21:46:04'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:258.367px;'title='1 threads
-duration:0.010
-start:2021-03-23 21:46:04
-end:2021-03-23 21:46:05'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:258.865px;'title='0 threads
-duration:0.057
-start:2021-03-23 21:46:05
-end:2021-03-23 21:46:08'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:261.699px;'title='1 threads
-duration:0.055
-start:2021-03-23 21:46:08
-end:2021-03-23 21:46:12'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:264.439px;'title='0 threads
-duration:0.012
-start:2021-03-23 21:46:12
-end:2021-03-23 21:46:12'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:265.042px;'title='1 threads
-duration:0.049
-start:2021-03-23 21:46:12
-end:2021-03-23 21:46:15'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:267.498px;'title='0 threads
-duration:0.018
-start:2021-03-23 21:46:15
-end:2021-03-23 21:46:16'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:268.375px;'title='1 threads
-duration:0.058
-start:2021-03-23 21:46:16
-end:2021-03-23 21:46:20'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:271.266px;'title='0 threads
-duration:0.076
-start:2021-03-23 21:46:20
-end:2021-03-23 21:46:24'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:275.043px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:46:24
-end:2021-03-23 21:46:25'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:275.511px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:46:25
-end:2021-03-23 21:46:26'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:276.717px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:46:26
-end:2021-03-23 21:46:27'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:277.189px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:46:27
-end:2021-03-23 21:46:28'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:278.387px;'title='1 threads
-duration:0.009
-start:2021-03-23 21:46:28
-end:2021-03-23 21:46:29'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:278.856px;'title='0 threads
-duration:0.091
-start:2021-03-23 21:46:29
-end:2021-03-23 21:46:34'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:283.386px;'title='1 threads
-duration:0.048
-start:2021-03-23 21:46:34
-end:2021-03-23 21:46:37'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:285.789px;'title='0 threads
-duration:0.019
-start:2021-03-23 21:46:37
-end:2021-03-23 21:46:38'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:286.727px;'title='1 threads
-duration:0.047
-start:2021-03-23 21:46:38
-end:2021-03-23 21:46:41'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:0.000px;left:150px; top:289.056px;'title='0 threads
-duration:0.020
-start:2021-03-23 21:46:41
-end:2021-03-23 21:46:42'></div><div class='bar' style='background-color:#90BBD7;height:3.000px;width:200.000px;left:150px; top:290.065px;'title='1 threads
-duration:0.049
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-duration:0.009
-start:2021-03-23 21:46:54
-end:2021-03-23 21:46:55'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:300.543px;'title='0 threads
-duration:0.057
-start:2021-03-23 21:46:55
-end:2021-03-23 21:46:58'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.802px;left:150px; top:303.411px;'title='3 threads
-duration:0.012
-start:2021-03-23 21:46:58
-end:2021-03-23 21:46:59'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:304.006px;'title='0 threads
-duration:0.022
-start:2021-03-23 21:46:59
-end:2021-03-23 21:47:00'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:167.016px;left:150px; top:305.087px;'title='812 threads
-duration:0.033
-start:2021-03-23 21:47:00
-end:2021-03-23 21:47:02'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:306.756px;'title='0 threads
-duration:0.033
-start:2021-03-23 21:47:02
-end:2021-03-23 21:47:04'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.473px;left:150px; top:308.421px;'title='2 threads
-duration:0.011
-start:2021-03-23 21:47:04
-end:2021-03-23 21:47:05'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:308.950px;'title='0 threads
-duration:0.023
-start:2021-03-23 21:47:05
-end:2021-03-23 21:47:06'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:1.707px;left:150px; top:310.096px;'title='8 threads
-duration:0.009
-start:2021-03-23 21:47:06
-end:2021-03-23 21:47:07'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:310.566px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:47:07
-end:2021-03-23 21:47:08'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.576px;left:150px; top:311.756px;'title='2 threads
-duration:0.009
-start:2021-03-23 21:47:08
-end:2021-03-23 21:47:09'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:312.219px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:47:09
-end:2021-03-23 21:47:10'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:1.172px;left:150px; top:313.424px;'title='5 threads
-duration:0.009
-start:2021-03-23 21:47:10
-end:2021-03-23 21:47:11'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:313.885px;'title='0 threads
-duration:0.058
-start:2021-03-23 21:47:11
-end:2021-03-23 21:47:14'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:192.679px;left:150px; top:316.764px;'title='937 threads
-duration:0.008
-start:2021-03-23 21:47:14
-end:2021-03-23 21:47:15'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:317.172px;'title='0 threads
-duration:0.025
-start:2021-03-23 21:47:15
-end:2021-03-23 21:47:16'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:1.419px;left:150px; top:318.427px;'title='6 threads
-duration:0.008
-start:2021-03-23 21:47:16
-end:2021-03-23 21:47:17'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:318.836px;'title='0 threads
-duration:0.025
-start:2021-03-23 21:47:17
-end:2021-03-23 21:47:18'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:2.139px;left:150px; top:320.099px;'title='10 threads
-duration:0.008
-start:2021-03-23 21:47:18
-end:2021-03-23 21:47:19'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:320.508px;'title='0 threads
-duration:0.059
-start:2021-03-23 21:47:19
-end:2021-03-23 21:47:22'></div><div class='bar' style='background-color:#03969D;height:583.972px;width:190.644px;left:150px; top:323.434px;'title='927 threads
-duration:11.719
-start:2021-03-23 21:47:22
-end:2021-03-23 21:59:06'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:909.406px;'title='0 threads
-duration:0.026
-start:2021-03-23 21:59:06
-end:2021-03-23 21:59:07'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:193.893px;left:150px; top:910.686px;'title='942 threads
-duration:0.010
-start:2021-03-23 21:59:07
-end:2021-03-23 21:59:08'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:911.163px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:59:08
-end:2021-03-23 21:59:09'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:1.131px;left:150px; top:912.341px;'title='5 threads
-duration:0.009
-start:2021-03-23 21:59:09
-end:2021-03-23 21:59:10'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:912.811px;'title='0 threads
-duration:0.024
-start:2021-03-23 21:59:10
-end:2021-03-23 21:59:11'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:194.242px;left:150px; top:914.010px;'title='944 threads
-duration:0.009
-start:2021-03-23 21:59:11
-end:2021-03-23 21:59:12'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:914.467px;'title='0 threads
-duration:0.058
-start:2021-03-23 21:59:12
-end:2021-03-23 21:59:15'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.761px;left:150px; top:917.345px;'title='3 threads
-duration:0.012
-start:2021-03-23 21:59:15
-end:2021-03-23 21:59:16'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:917.958px;'title='0 threads
-duration:0.021
-start:2021-03-23 21:59:16
-end:2021-03-23 21:59:17'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:172.671px;left:150px; top:919.019px;'title='839 threads
-duration:0.034
-start:2021-03-23 21:59:17
-end:2021-03-23 21:59:19'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:920.720px;'title='0 threads
-duration:0.033
-start:2021-03-23 21:59:19
-end:2021-03-23 21:59:21'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:194.983px;left:150px; top:922.352px;'title='948 threads
-duration:0.012
-start:2021-03-23 21:59:21
-end:2021-03-23 21:59:22'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:922.939px;'title='0 threads
-duration:0.022
-start:2021-03-23 21:59:22
-end:2021-03-23 21:59:23'></div><div class='bar' style='background-color:#03969D;height:64.502px;width:0.350px;left:150px; top:924.025px;'title='1 threads
-duration:1.330
-start:2021-03-23 21:59:23
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:990.527px;'title='0 threads
-duration:0.005
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:43'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:194.797px;left:150px; top:990.761px;'title='947 threads
-duration:0.009
-start:2021-03-23 22:00:43
-end:2021-03-23 22:00:44'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:991.190px;'title='0 threads
-duration:0.025
-start:2021-03-23 22:00:44
-end:2021-03-23 22:00:45'></div><div class='bar' style='background-color:#03969D;height:5.118px;width:199.013px;left:150px; top:992.424px;'title='967 threads
-duration:0.142
-start:2021-03-23 22:00:45
-end:2021-03-23 22:00:54'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:999.542px;'title='0 threads
-duration:0.025
-start:2021-03-23 22:00:54
-end:2021-03-23 22:00:55'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:12.770px;left:150px; top:1000.777px;'title='62 threads
-duration:0.004
-start:2021-03-23 22:00:55
-end:2021-03-23 22:00:56'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:1000.958px;'title='0 threads
-duration:0.029
-start:2021-03-23 22:00:56
-end:2021-03-23 22:00:57'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:200.000px;left:150px; top:1002.431px;'title='972 threads
-duration:0.016
-start:2021-03-23 22:00:57
-end:2021-03-23 22:00:58'></div><div class='bar' style='background-color:#03969D;height:3.000px;width:0.000px;left:150px; top:1003.224px;'title='0 threads
-duration:0.000
-start:2021-03-23 22:00:58
-end:2021-03-23 22:00:58'></div>
-        </div>
-    </body>
\ No newline at end of file
diff --git a/documentation/changes.rst b/documentation/changes.rst
index 8fca11193..254e12b83 100644
--- a/documentation/changes.rst
+++ b/documentation/changes.rst
@@ -6,7 +6,7 @@ Changes
 Version 2.0.2
 --------------
 
-Date: August 23, 2021
+Date: October 28, 2021
 
 This corresponds to the release of MIAL Super-Resolution Toolkit 2.0.2,
 that includes in particular the following changes.
@@ -14,12 +14,6 @@ that includes in particular the following changes.
 New feature
 =============
 
-- ``pymialsrtk`` enables to monitor resources (time, threads, memory) used by the
-  interface of the pipeline at execution with the ``--profiling`` option flag.
-  This includes the creation of a new module `pymialsrtk.utils.monitoring` that
-  includes all methods originating from Nipype and modified to support this task
-  (See `pull request 92 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/92>`_).
-
 - ``pymialsrtk`` enables to fix the maximal amount of memory (in Gb) that could be used by the
   pipelines at execution with the ``--memory MEMORY_Gb`` option flag.
   (See `pull request 92 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/92>`_).
@@ -34,6 +28,12 @@ New feature
     - Computing environment summary
   (See pull requests `97 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/97>`_, `102 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/102>`_, and `103 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/103>`_).
 
+Major change
+=============
+
+* The method `pymialsrtk.postprocess.binarize_image()` has been modified and encapsulated in a new interface
+  called `pymialsrtk.postprocess.BinarizeImage`.
+
 Python update
 ===============
 
@@ -42,17 +42,19 @@ Python update
 New package
 ==============
 
-* pandas `1.2.3`
+* pandas `1.1.5`
+* sphinxcontrib-apidoc ``0.3.0`` (required to build documentation)
+* sphinxcontrib-napoleon ``0.7`` (required to build documentation)
 
 Package update
 ===============
 
-* pip from `19.0.3` to `21.0.1`
-* numpy from `1.16.4` to `1.16.6`
-* tflearn from `0.3.2` to `0.5.0`
-* tensorflow from `1.13.1` to `2.3.0`
-* tensorflow-estimator from `1.13.0` to `2.3.0`
-* tensorboard from `1.13.1` to `2.3.0`
+* traits from `5.1.2` to ``6.3.0``
+* nipype from `1.6.0` to ``1.7.0``
+* nilearn from `0.7.1` to ``0.8.1``
+* numpy from `1.16.6` to ``1.21.3``
+* scikit-learn from `0.20` to ``1.0.1``
+* scikit-image from `0.14` to ``0.16.2``
 
 Bug fix
 ========
@@ -61,16 +63,29 @@ Bug fix
   in ``mialsrtk-<variant>/sub-<label>/anat``
   (See `pull request 92 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/92>`_).
 
-Software development life cycle
-================================
+* The following Sphinx extension packages were added to the conda environment, that were required if one wish
+  to build the documentation locally:
+    * sphinxcontrib-apidoc ``0.3.0``
+    * sphinxcontrib-napoleon ``0.7``
 
-* Add `--profiling` option flag to test-02 and test-04
-  (See `pull request 92 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/92>`_).
+* ``mialsrtkImageReconstruction`` updates the reference image used for
+  slice-to-volume registration using the high-resolution image reconstructed
+  by SDI at the previous iteration.
+
+Note
+====
+
+It was not possible to update the version of tensorflow for the moment.
+All versions of tensorflow greater than 1.14 are in fact compiled with
+a version of GCC much more recent than the one available in Ubuntu 14.04.
+This seems to cause unresponsiveness of the `preprocess.BrainExtraction`
+interface node which can get stuck while getting access to the CPU device.
 
 More...
 ========
 
 Please check `pull request 70 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/70>`_
+and  `pull request 110 <https://github.com/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit/pull/110>`_
 for more change details and development discussions.
 
 
@@ -149,7 +164,7 @@ Software development life cycle
 * Adopt CircleCI for continuous integration testing and run the following regression tests:
 
 	* Test 01: Run BIDS App on the sample `data/` BIDS dataset with the ``--manual_masks`` option.
-	
+
 	* Test 02: Run BIDS App on the sample `data/` BIDS dataset with automated brain extraction (masking).
 
 	See `CircleCI project page <https://app.circleci.com/pipelines/github/Medical-Image-Analysis-Laboratory/mialsuperresolutiontoolkit>`_.
diff --git a/documentation/outputs.rst b/documentation/outputs.rst
index 3dce5761e..3f6f52b31 100644
--- a/documentation/outputs.rst
+++ b/documentation/outputs.rst
@@ -102,17 +102,6 @@ Anatomical derivatives
         :width: 600
         :align: center
 
-.. topic:: Profiling report
-
-    The `--profiling` option flag enables `MIALSRTK` to monitor the computational resources used by each interface / node of the workflow.
-    It generates in each subject's ``logs/`` subfolder a ``sub-01_rec-SR_id-1_desc-profiling_log.html`` file which reports
-    run times, number of executed threads, and amount of used memory in the form of the following HTML gantt chart:
-
-    .. raw:: html
-
-        <iframe src="_static/run_stats.log.html" height="345px" width="100%"></iframe>
-
-
 Nipype Workflow Derivatives
 ==========================================
 
diff --git a/pep8speaks.yml b/pep8speaks.yml
new file mode 100644
index 000000000..93d513bf9
--- /dev/null
+++ b/pep8speaks.yml
@@ -0,0 +1,28 @@
+# File : .pep8speaks.yml
+
+scanner:
+    diff_only: True  # If False, the entire file touched by the Pull Request is scanned for errors. If True, only the diff is scanned.
+    linter: flake8  # Other option is pycodestyle
+
+flake8:  # Same as scanner.linter value. Other option is pycodestyle
+    max-line-length: 119  # Default is 79 in PEP 8
+    ignore:  # Errors and warnings to ignore
+        - W504  # line break after binary operator
+        - E402  # module level import not at top of file
+        - E731  # do not assign a lambda expression, use a def
+        - C406  # Unnecessary list literal - rewrite as a dict literal.
+        - E741  # ambiguous variable name
+
+no_blank_comment: True  # If True, no comment is made on PR without any errors.
+descending_issues_order: False  # If True, PEP 8 issues in message will be displayed in descending order of line numbers in the file
+
+message:  # Customize the comment made by the bot
+    opened:  # Messages when a new PR is submitted
+        header: "Hello @{name}! Thanks for opening this PR. "
+                # The keyword {name} is converted into the author's username
+        footer: "Do see the [Hitchhiker's guide to code style](https://goo.gl/hqbW4r)"
+                # The messages can be written as they would over GitHub
+    updated:  # Messages when new commits are added to the PR
+        header: "Hello @{name}! Thanks for updating this PR. "
+        footer: ""  # Why to comment the link to the style guide everytime? :)
+    no_errors: "There are currently no PEP 8 issues detected in this Pull Request. Cheers! :beers: "
diff --git a/pymialsrtk/data/report/templates/template.html b/pymialsrtk/data/report/templates/template.html
index 9454245d6..fbdc316e0 100644
--- a/pymialsrtk/data/report/templates/template.html
+++ b/pymialsrtk/data/report/templates/template.html
@@ -86,11 +86,6 @@ <h1 class="w3-text-teal">Configuration</h1>
           {% else %}
           <li><span class="w3-text-orange">SR brain mask refinement:</span> <span class="w3-text-red">&#x2717;</span></li>
           {% endif %}
-          {% if resources_stats is defined and resources_stats is not none %}
-          <li><span class="w3-text-orange">Computational resources profiling:</span> <span class="w3-text-green">&#x2713;</span></li>
-          {% else %}
-          <li><span class="w3-text-orange">Computational resources profiling:</span> <span class="w3-text-red">&#x2717;</span></li>
-          {% endif %}
         </ul>
       </p>
     </div>
diff --git a/pymialsrtk/info.py b/pymialsrtk/info.py
index 844b72d50..a4eba2ef9 100644
--- a/pymialsrtk/info.py
+++ b/pymialsrtk/info.py
@@ -5,7 +5,7 @@
 _version_micro = 2
 _version_extra = ''
 
-__release_date__ = '26.08.2021'
+__release_date__ = '28.10.2021'
 
 __minor_version__ = "%s.%s" % (_version_major,
                                _version_minor)
diff --git a/pymialsrtk/interfaces/postprocess.py b/pymialsrtk/interfaces/postprocess.py
index 988807d4e..353cad272 100644
--- a/pymialsrtk/interfaces/postprocess.py
+++ b/pymialsrtk/interfaces/postprocess.py
@@ -10,17 +10,15 @@
 
 import os
 
-from glob import glob
-
 from traits.api import *
 
 from nipype.utils.filemanip import split_filename
-# from nipype.interfaces.base import isdefined, CommandLine, CommandLineInputSpec
 from nipype.interfaces.base import traits, \
     TraitedSpec, File, InputMultiPath, OutputMultiPath, BaseInterface, BaseInterfaceInputSpec
 
 from pymialsrtk.interfaces.utils import run
-
+import nibabel as nib
+import numpy as np
 
 #######################
 #  Refinement HR mask
@@ -258,9 +256,8 @@ class FilenamesGeneration(BaseInterface):
     def _run_interface(self, runtime):
 
         for stack in self.inputs.stacks_order:
-            self.m_substitutions.append((self.inputs.sub_ses + '_run-' + str(stack) +
-                                         '_T2w_nlm_uni_bcorr_histnorm.nii.gz',
-                                        self.inputs.sub_ses + '_run-' + str(stack) + '_id-' + str(
+            self.m_substitutions.append(('_T2w_nlm_uni_bcorr_histnorm.nii.gz',
+                                        '_id-' + str(
                                         self.inputs.sr_id) + '_desc-preprocSDI_T2w.nii.gz'))
 
             if not self.inputs.use_manual_masks:
@@ -274,10 +271,14 @@ def _run_interface(self, runtime):
                 self.m_substitutions.append(('_brainExtraction7/', ''))
                 self.m_substitutions.append(('_brainExtraction8/', ''))
                 self.m_substitutions.append(('_brainExtraction9/', ''))
-                self.m_substitutions.append((self.inputs.sub_ses + '_run-' + str(stack) +
-                                             '_T2w_brainMask.nii.gz',
-                                            self.inputs.sub_ses + '_run-' + str(stack) + '_id-' + str(
+                self.m_substitutions.append(('_T2w_brainMask.nii.gz',
+                                             '_id-' + str(
                                             self.inputs.sr_id) + '_desc-brain_mask.nii.gz'))
+            else:
+                self.m_substitutions.append(('_T2w_mask.nii.gz',
+                                             '_id-' + str(
+                                            self.inputs.sr_id) + '_desc-brain_mask.nii.gz'))
+
 
             self.m_substitutions.append(('_T2w_desc-brain_', '_desc-brain_'))
 
@@ -291,20 +292,22 @@ def _run_interface(self, runtime):
             self.m_substitutions.append(('_srtkMaskImage017/', ''))
             self.m_substitutions.append(('_srtkMaskImage018/', ''))
             self.m_substitutions.append(('_srtkMaskImage019/', ''))
-            self.m_substitutions.append((self.inputs.sub_ses + '_run-' + str(stack) +
+            self.m_substitutions.append((#self.inputs.sub_ses +
+                                        # '_run-' + str(stack) +
                                          '_T2w_uni_bcorr_histnorm.nii.gz',
-                                        self.inputs.sub_ses + '_run-' + str(stack) + '_id-' + str(
+                                        # self.inputs.sub_ses +
+                                         # '_run-' + str(stack) +
+                                         '_id-' + str(
                                         self.inputs.sr_id) + '_desc-preprocSR_T2w.nii.gz'))
 
-            self.m_substitutions.append((self.inputs.sub_ses + '_run-' + str(stack) +
-                                         '_T2w_nlm_uni_bcorr_histnorm_transform_' + str(
+            self.m_substitutions.append(( '_T2w_nlm_uni_bcorr_histnorm_transform_' + str(
                                         len(self.inputs.stacks_order)) + 'V.txt',
-                                        self.inputs.sub_ses + '_run-' + str(stack) + '_id-' + str(
+                                        '_id-' + str(
                                         self.inputs.sr_id) + '_mod-T2w_from-origin_to-SDI_mode-image_xfm.txt'))
 
-            self.m_substitutions.append((self.inputs.sub_ses + '_run-' + str(stack) +
+            self.m_substitutions.append(('_run-' + str(stack) +
                                          '_T2w_uni_bcorr_histnorm_LRmask.nii.gz',
-                                        self.inputs.sub_ses + '_run-' + str(stack) + '_id-' + str(
+                                        '_run-' + str(stack) + '_id-' + str(
                                         self.inputs.sr_id) + '_desc-brain_mask.nii.gz'))
 
         self.m_substitutions.append(('SDI_' + self.inputs.sub_ses + '_' +
@@ -357,33 +360,58 @@ def _list_outputs(self):
         return outputs
 
 
-def binarize_image(input_image):
-    """Binarize an image and save the mask.
+class BinarizeImageInputSpec(BaseInterfaceInputSpec):
+    """Class used to represent inputs of the BinarizeImage interface."""
 
-    Parameters
-    ----------
-    input_image : string
-        Path of input image
+    input_image = File(desc='Input image filename to be binarized', mandatory=True)
+
+
+class BinarizeImageOutputSpec(TraitedSpec):
+    """Class used to represent outputs of the BinarizeImage interface."""
 
-    Returns
-    -------
-    output_mask : string
-        Absolute path of output mask
+    output_srmask = File(desc='Image mask (binarized input)')
 
+
+class BinarizeImage(BaseInterface):
+    """Runs the MIAL SRTK mask image module.
+    Example
+    =======
+    >>> from pymialsrtk.interfaces.postprocess import BinarizeImage
+    >>> maskImg = MialsrtkMaskImage()
+    >>> maskImg.inputs.input_image = 'input_image.nii.gz'
     """
-    import nibabel as nib
-    import os
-    from nipype.utils.filemanip import split_filename
 
-    im = nib.load(input_image)
+    input_spec = BinarizeImageInputSpec
+    output_spec = BinarizeImageOutputSpec
+
+    def _gen_filename(self, name):
+        if name == 'output_srmask':
+            _, name, ext = split_filename(self.inputs.input_image)
+            output = name + '_srMask' + ext
+            return os.path.abspath(output)
+        return None
+
+    def _binarize_image(self, in_image):
+
+        image_nii = nib.load(in_image)
+        image = np.asanyarray(image_nii.dataobj)
+
+        out = nib.Nifti1Image(dataobj=1 * (image > 0), affine=image_nii.affine)
+        out._header = image_nii.header
 
-    out = nib.Nifti1Image(dataobj=(im.get_fdata() > 0.01).astype(int),
-                          affine=im.affine)
-    out._header = im.header
+        nib.save(filename=self._gen_filename('output_srmask'), img=out)
 
-    _, name, ext = split_filename(input_image)
-    output_mask = name + '_srMask' + ext
-    nib.save(filename=output_mask, img=out)
-    output_mask = os.path.abspath(output_mask)
+        return
+
+    def _run_interface(self, runtime):
+        try:
+            self._binarize_image(self.inputs.input_image)
+        except Exception as e:
+            print('Failed')
+            print(e)
+        return runtime
 
-    return output_mask
+    def _list_outputs(self):
+        outputs = self._outputs().get()
+        outputs['output_srmask'] = self._gen_filename('output_srmask')
+        return outputs
diff --git a/pymialsrtk/interfaces/preprocess.py b/pymialsrtk/interfaces/preprocess.py
index a580850cd..071bb49e7 100644
--- a/pymialsrtk/interfaces/preprocess.py
+++ b/pymialsrtk/interfaces/preprocess.py
@@ -15,31 +15,22 @@
 from glob import glob
 import pathlib
 
+from skimage.morphology import binary_opening, binary_closing
+
 import numpy as np
 from traits.api import *
 
 import nibabel
-import cv2
-import skimage.measure
-import scipy.ndimage as snd
-from skimage import morphology
-from scipy.signal import argrelextrema
-import pandas as pd
 
 import matplotlib
 import matplotlib.pyplot as plt
 import seaborn as sns
 
-try:
-    import tensorflow.compat.v1 as tf
-except ImportError:
-    print("Tensorflow not available. Can not run brain extraction")
-
-try:
-    import tflearn
-    from tflearn.layers.conv import conv_2d, max_pool_2d, upsample_2d
-except ImportError:
-    print("tflearn not available. Can not run brain extraction")
+import skimage.measure
+from scipy.signal import argrelextrema
+import scipy.ndimage as snd
+import pandas as pd
+import cv2
 
 from nipype.utils.filemanip import split_filename
 from nipype.interfaces.base import traits, \
@@ -256,7 +247,9 @@ def _run_interface(self, runtime):
         cmd = 'mialsrtkCorrectSliceIntensity "{}" "{}" "{}"'.format(self.inputs.in_file, self.inputs.in_mask, out_file)
         try:
             print('... cmd: {}'.format(cmd))
-            run(cmd, env={}, cwd=os.path.abspath(self.inputs.bids_dir))
+            env_cpp = os.environ.copy()
+            env_cpp['LD_PRELOAD'] = ""
+            run(cmd, env=env_cpp, cwd=os.path.abspath(self.inputs.bids_dir))
         except Exception as e:
             print('Failed')
             print(e)
@@ -547,6 +540,7 @@ def _list_outputs(self):
         outputs['out_im_file'] = self._gen_filename('out_im_file')
         return outputs
 
+
 class MultipleMialsrtkSliceBySliceCorrectBiasFieldInputSpec(BaseInterfaceInputSpec):
     """Class used to represent inputs of the MultipleMialsrtkSliceBySliceCorrectBiasField interface."""
 
@@ -1384,6 +1378,18 @@ def _extractBrain(self, dataPath, modelCkptLoc, thresholdLoc, modelCkptSeg, thre
             Suffix of the automatically generated mask (default is '_brainMask.nii.gz')
 
         """
+        try:
+            import tflearn  # noqa: E402
+            from tflearn.layers.conv import conv_2d, max_pool_2d, upsample_2d  # noqa: E402
+        except ImportError:
+            print("tflearn not available. Can not run brain extraction")
+            raise ImportError
+
+        try:
+            import tensorflow.compat.v1 as tf  # noqa: E402
+        except ImportError:
+            print("Tensorflow not available. Can not run brain extraction")
+            raise ImportError
 
         # Step 1: Brain localization
         normalize = "local_max"
@@ -1418,7 +1424,6 @@ def _extractBrain(self, dataPath, modelCkptLoc, thresholdLoc, modelCkptSeg, thre
 
             slice_counter += 1
 
-        # Tensorflow graph
         g = tf.Graph()
         with g.as_default():
 
@@ -1710,7 +1715,7 @@ def _post_processing(self, pred_lbl, verbose=False):
                             if ((distrib_cc[local_maxima[iMax]] - distrib_cc[local_minima[iMin]] > 50) and
                                (distrib_cc[local_maxima[iMax + 1]] - distrib_cc[local_minima[iMin]] > 50)):
                                 sub_stack = crt_stack_closed_minima[local_maxima[iMax] - 1:local_maxima[iMax + 1] + 1, :, :]
-                                sub_stack = morphology.binary_closing(sub_stack)
+                                sub_stack = binary_closing(sub_stack)
                                 crt_stack_closed_minima[local_maxima[iMax] - 1:local_maxima[iMax + 1] + 1, :, :] = sub_stack
                 crt_stack_pp = crt_stack_closed_minima.copy()
 
@@ -1748,10 +1753,10 @@ def _post_processing(self, pred_lbl, verbose=False):
                                 print("")
 
                             sub_stack = crt_stack_opened_maxima[local_maxima_n[iMax] - 1:local_maxima_n[iMax] + 2, :, :]
-                            sub_stack = morphology.binary_opening(sub_stack)
+                            sub_stack = binary_opening(sub_stack)
                             crt_stack_opened_maxima[local_maxima_n[iMax] - 1:local_maxima_n[iMax] + 2, :, :] = sub_stack
                 else:
-                    crt_stack_opened_maxima = morphology.binary_opening(crt_stack_opened_maxima)
+                    crt_stack_opened_maxima = binary_opening(crt_stack_opened_maxima)
                 crt_stack_pp = crt_stack_opened_maxima.copy()
 
                 distrib_opened = []
@@ -1768,12 +1773,12 @@ def _post_processing(self, pred_lbl, verbose=False):
 
                 if distrib_opened[0] - distrib_opened[1] > 40:
                     sub_stack = crt_stack_extremity[0:2, :, :]
-                    sub_stack = morphology.binary_opening(sub_stack)
+                    sub_stack = binary_opening(sub_stack)
                     crt_stack_extremity[0:2, :, :] = sub_stack
 
                 if pred_lbl.shape[0] - 1 in maxima_extrema:
                     sub_stack = crt_stack_opened_maxima[-2:, :, :]
-                    sub_stack = morphology.binary_opening(sub_stack)
+                    sub_stack = binary_opening(sub_stack)
                     crt_stack_opened_maxima[-2:, :, :] = sub_stack
 
                 crt_stack_pp = crt_stack_extremity.copy()
diff --git a/pymialsrtk/parser.py b/pymialsrtk/parser.py
index e9091397d..926e39746 100644
--- a/pymialsrtk/parser.py
+++ b/pymialsrtk/parser.py
@@ -83,15 +83,6 @@ def get_parser():
         "``<output_dir>/<masks_derivatives_dir>/`` directory",
     )
 
-    p.add_argument(
-        "--profiling",
-        help="Save node runtime statistics (processing times, number of threads, memory) "
-        "in a JSON-style `run_stats.log` and in the form "
-        "of a gantt chart in a HTML `run_stats.log.html`",
-        action="store_true",
-        default=False,
-    )
-
     p.add_argument(
         "-v",
         "--version",
diff --git a/pymialsrtk/pipelines/anatomical/srr.py b/pymialsrtk/pipelines/anatomical/srr.py
index 4f5149027..366cbb2bb 100644
--- a/pymialsrtk/pipelines/anatomical/srr.py
+++ b/pymialsrtk/pipelines/anatomical/srr.py
@@ -18,18 +18,18 @@
 import nibabel as nib
 
 from nipype.info import __version__ as __nipype_version__
-from nipype import config, logging
+from nipype import config
+from nipype import logging as nipype_logging
 from nipype.interfaces.io import DataGrabber, DataSink
 from nipype.pipeline import Node, MapNode, Workflow
-from nipype.interfaces.utility import IdentityInterface, Function
+from nipype.interfaces.utility import IdentityInterface
 
 # Import the implemented interface from pymialsrtk
-import pymialsrtk.interfaces.preprocess as preprocess
 import pymialsrtk.interfaces.reconstruction as reconstruction
 import pymialsrtk.interfaces.postprocess as postprocess
+import pymialsrtk.interfaces.preprocess as preprocess
 import pymialsrtk.interfaces.utils as utils
 from pymialsrtk.bids.utils import write_bids_derivative_description
-from pymialsrtk.utils.monitoring import log_nodes_cb, generate_gantt_chart
 
 # Get pymialsrtk version
 from pymialsrtk.info import __version__
@@ -124,7 +124,7 @@ class AnatomicalPipeline:
     deltatTV = "0.75"
     lambdaTV = "0.001"
     primal_dual_loops = "20"
-    sr_id = 1
+    sr_id = None
     session = None
 
     m_stacks = None
@@ -146,7 +146,7 @@ def __init__(
         self, bids_dir, output_dir, subject, p_stacks=None, sr_id=1,
         session=None, paramTV=None, p_masks_derivatives_dir=None, p_masks_desc=None,
         p_dict_custom_interfaces=None,
-        openmp_number_of_cores=None, nipype_number_of_cores=None,
+        openmp_number_of_cores=None, nipype_number_of_cores=None
     ):
         """Constructor of AnatomicalPipeline class instance."""
 
@@ -188,19 +188,13 @@ def __init__(
             self.m_skip_nlm_denoising =  False
             self.m_skip_stacks_ordering = False
 
-    def create_workflow(self, save_profiler_log=False):
+    def create_workflow(self):
         """Create the Niype workflow of the super-resolution pipeline.
 
         It is composed of a succession of Nodes and their corresponding parameters,
         where the output of node i goes to the input of node i+1.
 
-        Parameters
-        ----------
-        save_profiler_log : bool
-            If `True`, save node runtime statistics to a JSON-style log file.
-
         """
-
         sub_ses = self.subject
         if self.session is not None:
             sub_ses = ''.join([sub_ses, '_', self.session])
@@ -232,11 +226,6 @@ def create_workflow(self, save_profiler_log=False):
         if os.path.isfile(os.path.join(wf_base_dir, "pypeline.log")):
             os.unlink(os.path.join(wf_base_dir, "pypeline.log"))
 
-        if save_profiler_log:
-            log_filename = os.path.join(wf_base_dir, 'pypeline_stats.log')
-            if os.path.isfile(log_filename):
-                os.unlink(log_filename)
-
         self.wf = Workflow(name=self.pipeline_name,base_dir=wf_base_dir)
 
         config.update_config(
@@ -256,20 +245,8 @@ def create_workflow(self, save_profiler_log=False):
             }
         )
 
-        if save_profiler_log:
-            config.update_config(
-                {
-                    'monitoring': {
-                        'enabled': save_profiler_log,
-                        'sample_frequency': "1.0",
-                        'summary_append': True
-                    }
-                }
-            )
-            config.enable_resource_monitor()
-
-        # Update logging with config
-        logging.update_logging(config)
+        # Update nypipe logging with config
+        nipype_logging.update_logging(config)
         # config.enable_provenance()
 
         if self.use_manual_masks:
@@ -318,6 +295,11 @@ def create_workflow(self, save_profiler_log=False):
                                 name='brain_masks_bypass',
                                 iterfield=['out_file'])
 
+            if self.m_stacks is not None:
+                custom_masks_filter = Node(interface=preprocess.FilteringByRunid(),
+                                           name='custom_masks_filter')
+                custom_masks_filter.inputs.stacks_id = self.m_stacks
+
         else:
             dg = Node(interface=DataGrabber(outfields=['T2ws']),
                       name='data_grabber')
@@ -469,12 +451,7 @@ def create_workflow(self, save_profiler_log=False):
                               name='srtkHRMask')
             srtkHRMask.inputs.bids_dir = self.bids_dir
         else:
-            srtkHRMask = Node(interface=Function(
-                              input_names=["input_image"],
-                              output_names=["output_srmask"],
-                              function=postprocess.binarize_image
-                              ),
-                              name='srtkHRMask')
+            srtkHRMask = Node(interface=postprocess.BinarizeImage(), name='srtkHRMask')
 
         srtkMaskImage02 = Node(interface=preprocess.MialsrtkMaskImage(),
                                name='srtkMaskImage02')
@@ -483,7 +460,11 @@ def create_workflow(self, save_profiler_log=False):
         # Build workflow : connections of the nodes
         # Nodes ready : Linking now
         if self.use_manual_masks:
-            self.wf.connect(dg, "masks", brainMask, "out_file")
+            if self.m_stacks is not None:
+                self.wf.connect(dg, "masks", custom_masks_filter, "input_files")
+                self.wf.connect(custom_masks_filter, "output_files", brainMask, "out_file")
+            else:
+                self.wf.connect(dg, "masks", brainMask, "out_file")
         else:
             if self.m_stacks is not None:
                 self.wf.connect(dg, "T2ws", t2ws_filter_prior_masks, "input_files")
@@ -499,15 +480,16 @@ def create_workflow(self, save_profiler_log=False):
 
         self.wf.connect(stacksOrdering, "stacks_order", masks_filtered, "stacks_id")
         self.wf.connect(brainMask, "out_file", masks_filtered, "input_files")
-        self.wf.connect(t2ws_filtered, ("output_files", utils.sort_ascending), nlmDenoise, "in_file")
-        self.wf.connect(masks_filtered, ("output_files", utils.sort_ascending), nlmDenoise, "in_mask")  ## Comment to match docker process
 
         if not self.m_skip_nlm_denoising:
+            self.wf.connect(t2ws_filtered, ("output_files", utils.sort_ascending), nlmDenoise, "in_file")
+            self.wf.connect(masks_filtered, ("output_files", utils.sort_ascending), nlmDenoise, "in_mask")  ## Comment to match docker process
+
             self.wf.connect(nlmDenoise, ("out_file", utils.sort_ascending), srtkCorrectSliceIntensity01_nlm, "in_file")
             self.wf.connect(masks_filtered, ("output_files", utils.sort_ascending), srtkCorrectSliceIntensity01_nlm, "in_mask")
 
-            self.wf.connect(t2ws_filtered, ("output_files", utils.sort_ascending), srtkCorrectSliceIntensity01, "in_file")
-            self.wf.connect(masks_filtered, ("output_files", utils.sort_ascending), srtkCorrectSliceIntensity01, "in_mask")
+        self.wf.connect(t2ws_filtered, ("output_files", utils.sort_ascending), srtkCorrectSliceIntensity01, "in_file")
+        self.wf.connect(masks_filtered, ("output_files", utils.sort_ascending), srtkCorrectSliceIntensity01, "in_mask")
 
         if not self.m_skip_nlm_denoising:
             self.wf.connect(srtkCorrectSliceIntensity01_nlm, ("out_file", utils.sort_ascending), srtkSliceBySliceN4BiasFieldCorrection, "in_file")
@@ -593,7 +575,7 @@ def create_workflow(self, save_profiler_log=False):
         self.wf.connect(srtkTVSuperResolution, "output_sr_png", datasink, 'figures.@SRpng')
         self.wf.connect(srtkHRMask, "output_srmask", datasink, 'anat.@SRmask')
 
-    def run(self, number_of_cores=1, memory=None, save_profiler_log=False):
+    def run(self, memory=None):
         """Execute the workflow of the super-resolution reconstruction pipeline.
 
         Nipype execution engine will take care of the management and execution of
@@ -603,17 +585,9 @@ def run(self, number_of_cores=1, memory=None, save_profiler_log=False):
 
         Parameters
         ----------
-        number_of_cores : int
-            Number of cores / CPUs used by the workflow
-
         memory : int
             Maximal memory used by the workflow
-
-        save_profiler_log : bool
-            If `True`, generates the profiling callback log
-            (Default: `False`)
         """
-        from nipype import logging as nipype_logging
 
         # Use nipype.interface logger to print some information messages
         iflogger = nipype_logging.getLogger('nipype.interface')
@@ -648,27 +622,13 @@ def run(self, number_of_cores=1, memory=None, save_profiler_log=False):
 
         # Create dictionary of arguments passed to plugin_args
         args_dict = {
-            'maxtasksperchild': 1,
             'raise_insufficient': False,
-            'n_procs': number_of_cores
+            'n_procs': self.nipype_number_of_cores
         }
 
         if (memory is not None) and (memory > 0):
             args_dict['memory_gb'] = memory
 
-        if save_profiler_log:
-            args_dict['status_callback'] = log_nodes_cb
-            # Set path to log file and create callback logger
-            callback_log_path = os.path.join(self.wf.base_dir,
-                                             self.wf.name,
-                                             'run_stats.log')
-            import logging
-            import logging.handlers
-            logger = logging.getLogger('callback')
-            logger.setLevel(logging.DEBUG)
-            handler = logging.FileHandler(callback_log_path)
-            logger.addHandler(handler)
-
         iflogger.info("**** Processing ****")
         # datetime object containing current start date and time
         start = datetime.now()
@@ -676,7 +636,10 @@ def run(self, number_of_cores=1, memory=None, save_profiler_log=False):
         print(f" Start date / time : {self.run_start_time}")
 
         # Execute the workflow
-        res = self.wf.run(plugin='MultiProc', plugin_args=args_dict)
+        if self.nipype_number_of_cores > 1:
+            res = self.wf.run(plugin='MultiProc', plugin_args=args_dict)
+        else:
+            res = self.wf.run()
 
         # Copy and rename the workflow execution log
         src = os.path.join(self.wf.base_dir, "pypeline.log")
@@ -723,38 +686,6 @@ def run(self, number_of_cores=1, memory=None, save_profiler_log=False):
                 pipeline_name=toolbox
             )
 
-        if save_profiler_log:
-            iflogger.info("**** Workflow execution profiling ****")
-            iflogger.info(f'\t > Creation of report...')
-            generate_gantt_chart(logfile=callback_log_path,
-                                 cores=number_of_cores,
-                                 minute_scale=10,
-                                 space_between_minutes=50,
-                                 pipeline_name=os.path.join(self.wf.base_dir,
-                                                            self.wf.name))
-            # Copy and rename the computational resources log
-            src = os.path.join(self.wf.base_dir, self.wf.name, "run_stats.log.html")
-            if self.session is not None:
-                dst = os.path.join(
-                        self.output_dir,
-                        '-'.join(["pymialsrtk", __version__]),
-                        self.subject,
-                        self.session,
-                        'logs',
-                        f'{self.subject}_{self.session}_rec-SR_id-{self.sr_id}_desc-profiling_log.html'
-                )
-            else:
-                dst = os.path.join(
-                        self.output_dir,
-                        '-'.join(["pymialsrtk", __version__]),
-                        self.subject,
-                        'logs',
-                        f'{self.subject}_rec-SR_id-{self.sr_id}_desc-profiling_log.html'
-                )
-            # Make the copy
-            iflogger.info(f'\t > Copy {src} to {dst}...')
-            shutil.copy(src=src, dst=dst)
-
         iflogger.info("**** Super-resolution HTML report creation ****")
         self.create_subject_report()
 
@@ -821,17 +752,6 @@ def create_subject_report(self):
             f'{sub_ses}_rec-SR_id-{self.sr_id}_log.txt'
         )
 
-        if os.path.exists(os.path.join(
-            final_res_dir, 'logs',
-            f'{sub_ses}_rec-SR_id-{self.sr_id}_desc-profiling_log.html'
-        )):
-            resources_log_file = os.path.join(
-                '..', 'logs',
-                f'{sub_ses}_rec-SR_id-{self.sr_id}_desc-profiling_log.html'
-            )
-        else:
-            resources_log_file = None
-
         # Create the text for {{subject}} and {{session}} fields in template
         report_subject_text = f'{self.subject.split("-")[-1]}'
         if self.session is not None:
@@ -846,7 +766,6 @@ def create_subject_report(self):
             processing_datetime=self.run_start_time,
             run_time=self.run_elapsed_time,
             log=log_file,
-            resources_stats=resources_log_file,
             sr_id=self.sr_id,
             stacks=self.m_stacks,
             svr="on" if not self.m_skip_svr else "off",
diff --git a/pymialsrtk/utils/__init__.py b/pymialsrtk/utils/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/pymialsrtk/utils/monitoring.py b/pymialsrtk/utils/monitoring.py
deleted file mode 100644
index 662e5a810..000000000
--- a/pymialsrtk/utils/monitoring.py
+++ /dev/null
@@ -1,461 +0,0 @@
-# Copyright © 2016-2021 Medical Image Analysis Laboratory, University Hospital Center and University of Lausanne (UNIL-CHUV), Switzerland
-#
-#  This software is distributed under the open-source license Modified BSD.
-
-"""PyMIALSRTK utils functions for resource monitoring originated from Nipype.
-
-See https://nipype.readthedocs.io/en/latest/api/generated/nipype.utils.profiler.html for Nipype's documentation.
-See https://nipype.readthedocs.io/en/latest/api/generated/nipype.utils.draw_gantt_chart.html
-"""
-# Import packages
-import datetime
-import simplejson as json
-
-from nipype.utils.draw_gantt_chart import calculate_resource_timeseries,\
-    create_event_dict, draw_nodes, draw_lines
-
-# Pandas
-try:
-    import pandas as pd
-except ImportError:
-    print(
-        "Pandas not found; in order for full functionality of this module "
-        "install the pandas package"
-    )
-    pass
-
-
-# Log node stats function
-def log_nodes_cb(node, status):
-    """Function to record node run statistics to a log file as json
-    dictionaries (source: https://github.com/nipy/nipype/blob/10388b0bb5d341628b68258f655b9f86fb2cf5a6/nipype/utils/profiler.py#L111-L153)
-
-    Modified to ignore mapnodes.
-
-    Parameters
-    ----------
-    node : nipype.pipeline.engine.Node
-        the node being logged
-
-    status : string
-        acceptable values are 'start', 'end'; otherwise it is
-        considered and error
-
-    Returns
-    -------
-    None
-        this function does not return any values, it logs the node
-        status info to the callback logger
-
-    """
-    if status != "end":
-        return
-
-    # Ignore MapNodes by checking for lists, since
-    # the subnodes already called
-    # source: https://github.com/nipy/nipype/issues/2571#issuecomment-396209516
-    if isinstance(node.result.runtime, list):
-        return
-
-    # Import packages
-    import logging
-    import json
-
-    status_dict = {
-        "name": node.name,
-        "id": node._id,
-        "start": getattr(node.result.runtime, "startTime"),
-        "finish": getattr(node.result.runtime, "endTime"),
-        "duration": getattr(node.result.runtime, "duration"),
-        "runtime_threads": getattr(node.result.runtime, "cpu_percent", "N/A"),
-        "runtime_memory_gb": getattr(node.result.runtime, "mem_peak_gb", "N/A"),
-        "estimated_memory_gb": node.mem_gb,
-        "num_threads": node.n_procs,
-    }
-
-    if status_dict["start"] is None or status_dict["finish"] is None:
-        status_dict["error"] = True
-
-    # Dump string to log
-    logging.getLogger("callback").debug(json.dumps(status_dict))
-
-
-def log_to_dict(logfile):
-    """
-    Function to extract log node dictionaries into a list of python
-    dictionaries and return the list as well as the final node
-
-    Parameters
-    ----------
-    logfile : string
-        path to the json-formatted log file generated from a nipype
-        workflow execution
-
-    Returns
-    -------
-    nodes_list : list
-        a list of python dictionaries containing the runtime info
-        for each nipype node
-
-    """
-    # Init variables
-    with open(logfile, "r") as content:
-        # read file separating each line
-        lines = content.readlines()
-
-    nodes_list = []
-    for l in lines:
-        node = json.loads(l)
-        node["start"] = datetime.datetime.strptime(node["start"],
-                                                   '%Y-%m-%dT%H:%M:%S.%f')
-        node["finish"] = datetime.datetime.strptime(node["finish"],
-                                                    '%Y-%m-%dT%H:%M:%S.%f')
-        nodes_list.append(node)
-
-    # Return list of nodes
-    return nodes_list
-
-
-def draw_resource_bar(
-    start_time,
-    finish_time,
-    time_series,
-    space_between_minutes,
-    minute_scale,
-    color,
-    left,
-    resource,
-    max_bar_width
-):
-    """Draw the resource bar in the resource monitoring gantt chart.
-
-    Parameters
-    ----------
-    start_time : datatime.DateTime
-        node start datetime
-
-    finish_time : datatime.DateTime
-        Node finish datetime
-
-    time_series : pandas.Series
-        Node timeseries
-
-    space_between_minutes : int
-        Space between minutes
-
-    minute_scale : int
-        Scaling of space between minutes
-
-    color : string
-        Color hexadecimal code
-
-    left : int
-        Number of pixels to place to bar to the right of
-        the left edge
-
-    resource : 'Memory' or 'Threads'
-        Type of resource
-
-    max_bar_width : int
-        Maximal bar width in pixels
-
-    Returns
-    -------
-    result : string
-        Bar-formatted html string
-
-    """
-    # Memory header
-    result = "<p class='time' style='top:198px;left:%dpx;'>%s</p>" % (left, resource)
-    # Image scaling factors
-    scale = space_between_minutes / minute_scale
-    space_between_minutes = space_between_minutes / scale
-
-    # Maximal value in the time series
-    max_ts = time_series.max()
-
-    # Iterate through time series
-    ts_items = time_series.items()
-    ts_len = len(time_series)
-    for idx, (ts_start, amount) in enumerate(ts_items):
-        if idx < ts_len - 1:
-            ts_end = time_series.index[idx + 1]
-        else:
-            ts_end = finish_time
-        # Calculate offset from start at top
-        offset = (
-            (ts_start - start_time).total_seconds() / 60.0
-        ) * scale * space_between_minutes + 250
-        # Scale duration
-        duration_mins = (ts_end - ts_start).total_seconds() / 60.0
-        height = duration_mins * scale * space_between_minutes
-        if height < 5:
-            height = 5
-        height -= 2
-
-        # Bar width is proportional to resource amount
-        width = amount * (max_bar_width / max_ts)
-
-        if resource.lower() == "memory":
-            label = "%.3f GB" % amount
-        else:
-            label = "%d threads" % amount
-
-        # Setup dictionary for bar html string insertion
-        bar_dict = {
-            "color": color,
-            "height": height,
-            "width": width,
-            "offset": offset,
-            "left": left,
-            "label": label,
-            "duration": duration_mins,
-            "start": ts_start.strftime("%Y-%m-%d %H:%M:%S"),
-            "finish": ts_end.strftime("%Y-%m-%d %H:%M:%S"),
-        }
-
-        bar_html = (
-            "<div class='bar' style='background-color:%(color)s;"
-            "height:%(height).3fpx;width:%(width).3fpx;"
-            "left:%(left)dpx; top:%(offset).3fpx;'"
-            "title='%(label)s\nduration:%(duration).3f minutes\n"
-            "start:%(start)s\nend:%(finish)s'></div>"
-        )
-        # Add another bar to html line
-        result += bar_html % bar_dict
-
-    # Return bar-formatted html string
-    return result
-
-
-def generate_gantt_chart(
-    logfile,
-    cores,
-    minute_scale=10,
-    space_between_minutes=50,
-    colors=["#7070FF", "#4E4EB2", "#2D2D66", "#9B9BFF"],
-    pipeline_name='Undefined',
-):
-    """
-    Generates a gantt chart in html showing the workflow execution based on a callback log file.
-    This script was intended to be used with the MultiprocPlugin.
-    The following code shows how to set up the workflow in order to generate the log file:
-
-    Parameters
-    ----------
-    logfile : string
-        filepath to the callback log file to plot the gantt chart of
-
-    cores : integer
-        the number of cores given to the workflow via the 'n_procs'
-        plugin arg
-
-    minute_scale : integer (optional); default=10
-        the scale, in minutes, at which to plot line markers for the
-        gantt chart; for example, minute_scale=10 means there are lines
-        drawn at every 10 minute interval from start to finish
-
-    space_between_minutes : integer (optional); default=50
-        scale factor in pixel spacing between minute line markers
-
-    colors : list (optional)
-        a list of colors to choose from when coloring the nodes in the
-        gantt chart
-
-    pipeline_name : string
-        The name of the pipeline to be displayed in the output HTML page
-        (Default: `'Undefined'`)
-
-    Returns
-    -------
-    None
-        the function does not return any value but writes out an html
-        file in the same directory as the callback log path passed in
-
-    Usage
-    -----
-    # import logging
-    # import logging.handlers
-    # from nipype.utils.profiler import log_nodes_cb
-    # log_filename = 'callback.log'
-    # logger = logging.getLogger('callback')
-    # logger.setLevel(logging.DEBUG)
-    # handler = logging.FileHandler(log_filename)
-    # logger.addHandler(handler)
-    # #create workflow
-    # workflow = ...
-    # workflow.run(plugin='MultiProc',
-    #     plugin_args={'n_procs':8, 'memory':12, 'status_callback': log_nodes_cb})
-    # generate_gantt_chart('callback.log', 8)
-
-    """
-    # add the html header
-    html_string = """<!DOCTYPE html>
-    <head>
-        <style>
-            #content{
-                width:99%;
-                height:100%;
-                position:absolute;
-            }
-            .node{
-                background-color:#7070FF;
-                border-radius: 5px;
-                position:absolute;
-                width:20px;
-                white-space:pre-wrap;
-            }
-            .line{
-                position: absolute;
-                color: #C2C2C2;
-                opacity: 0.5;
-                margin: 0px;
-            }
-            .time{
-                position: absolute;
-                font-size: 16px;
-                color: #666666;
-                margin: 0px;
-            }
-            .bar{
-                position: absolute;
-                height: 1px;
-                opacity: 0.7;
-            }
-            .dot{
-                position: absolute;
-                width: 1px;
-                height: 1px;
-                background-color: red;
-            }
-            .label {
-                width:20px;
-                height:20px;
-                opacity: 0.7;
-                display: inline-block;
-            }
-        </style>
-    </head>
-    <body>
-        <div id="content">
-            <div style="display:inline-block;">
-    """
-
-    close_header = """
-    </div>
-    <div style="display:inline-block;margin-left:60px;vertical-align: top;">
-        <p><span><div class="label" style="background-color:#90BBD7;"></div> Estimated Resource</span></p>
-        <p><span><div class="label" style="background-color:#03969D;"></div> Actual Resource</span></p>
-        <p><span><div class="label" style="background-color:#f00;"></div> Failed Node</span></p>
-    </div>
-    """
-
-    # Read in json-log to get list of node dicts
-    nodes_list = log_to_dict(logfile)
-
-    # Create the header of the report with useful information
-    start_node = nodes_list[0]
-    last_node = nodes_list[-1]
-
-    print(f'last_node["finish"]: {last_node["finish"]}')
-    print(f'start_node["start"] :{start_node["start"]}')
-
-    duration = (last_node["finish"] - start_node["start"]).total_seconds()
-
-    # Get events based dictionary of node run stats
-    events = create_event_dict(start_node["start"], nodes_list)
-
-    # Summary strings of workflow at top
-    html_string += "<p>Pipeline Folder: " + pipeline_name + "</p>"
-    html_string += (
-        "<p>Start: " + start_node["start"].strftime("%Y-%m-%d %H:%M:%S") + "</p>"
-    )
-    html_string += (
-        "<p>Finish: " + last_node["finish"].strftime("%Y-%m-%d %H:%M:%S") + "</p>"
-    )
-    html_string += "<p>Duration: " + "{0:.2f}".format(duration / 60) + " minutes</p>"
-    html_string += "<p>Nodes: " + str(len(nodes_list)) + "</p>"
-    html_string += "<p>Cores: " + str(cores) + "</p>"
-    html_string += close_header
-    # Draw nipype nodes Gantt chart and runtimes
-    html_string += draw_lines(
-        start_node["start"], duration, minute_scale, space_between_minutes
-    )
-    html_string += draw_nodes(
-        start_node["start"],
-        nodes_list,
-        cores,
-        minute_scale,
-        space_between_minutes,
-        colors,
-    )
-
-    # Get memory timeseries
-    estimated_mem_ts = calculate_resource_timeseries(events, "estimated_memory_gb")
-    runtime_mem_ts = calculate_resource_timeseries(events, "runtime_memory_gb")
-    # Plot gantt chart
-
-    # Determine offset for 200px width
-    max_bar_width = 200
-    resource_offset = 120 + 30 * cores
-    html_string += draw_resource_bar(
-            start_node["start"],
-            last_node["finish"],
-            estimated_mem_ts,
-            space_between_minutes,
-            minute_scale,
-            "#90BBD7",
-            resource_offset + max_bar_width + 120,
-            "Memory",
-            max_bar_width
-    )
-    html_string += draw_resource_bar(
-            start_node["start"],
-            last_node["finish"],
-            runtime_mem_ts,
-            space_between_minutes,
-            minute_scale,
-            "#03969D",
-            resource_offset + max_bar_width + 120,
-            "Memory",
-            max_bar_width
-    )
-
-    # Get threads timeseries
-    estimated_threads_ts = calculate_resource_timeseries(events, "estimated_threads")
-    runtime_threads_ts = calculate_resource_timeseries(events, "runtime_threads")
-
-    print(f'estimated threads: {estimated_threads_ts.max()}')
-    print(f'runtime threads: {runtime_threads_ts.max()}')
-
-    html_string += draw_resource_bar(
-            start_node["start"],
-            last_node["finish"],
-            estimated_threads_ts,
-            space_between_minutes,
-            minute_scale,
-            "#90BBD7",
-            resource_offset,
-            "Threads",
-            max_bar_width
-    )
-    html_string += draw_resource_bar(
-            start_node["start"],
-            last_node["finish"],
-            runtime_threads_ts,
-            space_between_minutes,
-            minute_scale,
-            "#03969D",
-            resource_offset,
-            "Threads",
-            max_bar_width
-    )
-
-    # finish html
-    html_string += """
-        </div>
-    </body>"""
-
-    # save file
-    with open(logfile + ".html", "w") as html_file:
-        html_file.write(html_string)
\ No newline at end of file
diff --git a/scripts/build_bidsapp.sh b/scripts/build_bidsapp.sh
new file mode 100644
index 000000000..f6c43bec3
--- /dev/null
+++ b/scripts/build_bidsapp.sh
@@ -0,0 +1,28 @@
+#!/bin/sh
+SCRIPTSDIR=$(cd "$(dirname "$0")"; pwd)
+BASEDIR="$(dirname "$SCRIPTSDIR")"
+cd "$BASEDIR"
+
+CMP_BUILD_DATE="$(date -u +\"%Y-%m-%dT%H:%M:%SZ\")"
+echo "$CMP_BUILD_DATE"
+
+VERSION="v$(python get_version.py)"
+echo "$VERSION"
+
+VCS_REF="$(git rev-parse --verify HEAD)"
+echo "$VCS_REF"
+
+MAIN_DOCKER="sebastientourbier/mialsuperresolutiontoolkit-ubuntu14.04:${VERSION}"
+echo "$MAIN_DOCKER"
+
+docker build --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
+				  --build-arg VCS_REF="$VCS_REF" \
+				  --build-arg VERSION="$VERSION" \
+				  -t "${MAIN_DOCKER}" "$BASEDIR"
+
+docker build --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
+             --build-arg VERSION="$VERSION" \
+             --build-arg VCS_REF="$VCS_REF" \
+             --build-arg MAIN_DOCKER="$MAIN_DOCKER" \
+             -t sebastientourbier/mialsuperresolutiontoolkit-bidsapp:"${VERSION}" "$BASEDIR/docker/bidsapp"
+
diff --git a/build_jupyter.sh b/scripts/build_jupyter.sh
similarity index 77%
rename from build_jupyter.sh
rename to scripts/build_jupyter.sh
index fce42eb62..d1eadf22a 100644
--- a/build_jupyter.sh
+++ b/scripts/build_jupyter.sh
@@ -1,4 +1,8 @@
-#! /bin/sh
+#!/bin/sh
+SCRIPTSDIR=$(cd "$(dirname "$0")"; pwd)
+BASEDIR="$(dirname "$SCRIPTSDIR")"
+cd "$BASEDIR"
+
 CMP_BUILD_DATE="$(date -u +"%Y-%m-%dT%H:%M:%SZ")"
 echo "$CMP_BUILD_DATE"
 
@@ -14,7 +18,7 @@ echo "$MAIN_DOCKER"
 docker build --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
 				  --build-arg VCS_REF="$VCS_REF" \
 				  --build-arg VERSION="$VERSION" \
-				  -t "${MAIN_DOCKER}" . \
+				  -t "${MAIN_DOCKER}" "$BASEDIR" \
 
 JUPYTER_DOCKER="sebastientourbier/mialsuperresolutiontoolkit-jupyter:${VERSION}"
 
@@ -22,4 +26,4 @@ docker build --rm --build-arg BUILD_DATE="$CMP_BUILD_DATE" \
                              --build-arg VERSION="$VERSION" \
                              --build-arg VCS_REF="$VCS_REF" \
                              --build-arg MAIN_DOCKER="$MAIN_DOCKER" \
-                             -t "${JUPYTER_DOCKER}" ./docker/jupyter
+                             -t "${JUPYTER_DOCKER}" "$BASEDIR/docker/jupyter"
diff --git a/scripts/build_sphinx_docs.sh b/scripts/build_sphinx_docs.sh
new file mode 100644
index 000000000..0aeb364b2
--- /dev/null
+++ b/scripts/build_sphinx_docs.sh
@@ -0,0 +1,10 @@
+#!/bin/sh
+SCRIPTSDIR=$(cd "$(dirname "$0")"; pwd)
+BASEDIR="$(dirname "$SCRIPTSDIR")"
+cd "$BASEDIR"
+
+echo "Building documentation in $BASEDIR/documentation/_build/html"
+
+cd "$BASEDIR/documentation"
+make clean
+make html
diff --git a/setup.py b/setup.py
index 944ec5bd0..f16382191 100644
--- a/setup.py
+++ b/setup.py
@@ -21,8 +21,7 @@
     "pymialsrtk.cli",
     "pymialsrtk.interfaces",
     "pymialsrtk.pipelines",
-    "pymialsrtk.pipelines.anatomical",
-    "pymialsrtk.utils"
+    "pymialsrtk.pipelines.anatomical"
 ]
 
 package_data = {
diff --git a/setup_pypi.py b/setup_pypi.py
index 4c0cbcce1..a7862fe49 100644
--- a/setup_pypi.py
+++ b/setup_pypi.py
@@ -21,8 +21,7 @@
     "pymialsrtk.cli",
     "pymialsrtk.interfaces",
     "pymialsrtk.pipelines",
-    "pymialsrtk.pipelines.anatomical",
-    "pymialsrtk.utils"
+    "pymialsrtk.pipelines.anatomical"
 ]
 
 package_data = {
diff --git a/src/MotionEstimation/mialsrtkImageReconstruction.cxx b/src/MotionEstimation/mialsrtkImageReconstruction.cxx
index 7125e368e..1ac5abae7 100644
--- a/src/MotionEstimation/mialsrtkImageReconstruction.cxx
+++ b/src/MotionEstimation/mialsrtkImageReconstruction.cxx
@@ -1,7 +1,7 @@
 
 /*=========================================================================
 
-Program: Performs slice to volume registration and Scattered Data Interpolation 
+Program: Performs slice to volume registration and Scattered Data Interpolation
 Language: C++
 Date: $Date: 2012-28-12 14:00:00 +0100 (Fri, 28 Dec 2012) $
 Version: $Revision: 1 $
@@ -224,7 +224,7 @@ int main( int argc, char *argv[] )
   typedef itk::CastImageFilter<ImageType,ImageMaskType> CasterType;
   typedef itk::ImageDuplicator<ImageType> DuplicatorType;
 
-    // Filter setup
+  // Filter setup
   unsigned int numberOfImages = input.size();
   std::vector< ImagePointer >         images(numberOfImages);
   std::vector< ImageMaskPointer >     imageMasks(numberOfImages);
@@ -320,7 +320,7 @@ int main( int argc, char *argv[] )
         lowToHighResFilter -> SetRegionArray( i, rois[i] );
 
 
-      } 
+      }
       // use the entire image (longer computation)
       else if ( allSwitchArg.isSet() )
         {
@@ -390,7 +390,7 @@ int main( int argc, char *argv[] )
 
   // Image registration performed slice by slice or affine 3D according to
   // the user selection
-    
+
   if(computeRefImage)
   {
     std::cout << "Get global rigid HR image" << std::endl;
@@ -422,7 +422,7 @@ int main( int argc, char *argv[] )
 
   /** Anisotropic diffusion Gaussian filtering for computing the SNR measure */
   // typedef itk::CurvatureAnisotropicDiffusionImageFilter< ImageType, ImageType >  ADGaussianFilterType;
-  
+
   // typedef itk::SubtractImageFilter< InputImageType, ImageType, ImageType > SubtractFilterType;
   // typedef itk::ResampleImageFilter< ImageType, ImageType > ResampleFilterType;
 
@@ -442,6 +442,14 @@ int main( int argc, char *argv[] )
   float previousMetric = 0.0;
   float currentMetric = 0.0;
 
+  // Default registration step lengths
+  float min_step = 0.0001;
+  float max_step = 0.2;
+
+  // Reduce default registration step lengths
+  min_step = 0.5 * min_step;
+  max_step = 0.5 * max_step;
+
   for(unsigned int it=1; it <= itMax; it++)
   {
     std::cout << "Iteration " << it << std::endl; std::cout.flush();
@@ -482,6 +490,22 @@ int main( int argc, char *argv[] )
           registration[im] = RegistrationType::New();
           registration[im] -> SetFixedImage( images[im] );
           registration[im] -> SetMovingImage( hrRefImage );
+
+          if (it == 1)
+          {
+            std::cout << "Iteration " << it << ":" << std::endl;
+            std::cout << "  - Use the initial reference image for slice-to-volume registration. " << std::endl;
+            registration[im] -> SetMovingImage( hrRefImage );
+          }
+          else
+          {
+            std::cout << "Iteration " << it << " > 1 :" << std::endl;
+            std::cout << "  - Update the reference image for slice-to-volume registration with reconstructed HR image of previous iteration. " << std::endl;
+            registration[im] -> SetMovingImage( hrImage );
+          }
+          std::cout << "  - Use constant registration step lengths: [" << min_step << ";"<< max_step << "]" << std::endl << std::cout.flush();
+          registration[im] -> SetMinStepLength(min_step);
+          registration[im] -> SetMaxStepLength(max_step);
           registration[im] -> SetImageMask( imageMasks[im] );
           registration[im] -> SetTransform( transforms[im] );
 
@@ -490,7 +514,7 @@ int main( int argc, char *argv[] )
 
           try
             {
-            registration[im] -> StartRegistration();
+                registration[im] -> StartRegistration();
             }
           catch( itk::ExceptionObject & err )
             {
@@ -638,4 +662,3 @@ int main( int argc, char *argv[] )
   } catch (TCLAP::ArgException &e)  // catch any exceptions
   { std::cerr << "error: " << e.error() << " for arg " << e.argId() << std::endl; }
 }
-


Test patch:
diff --git a/.circleci/test-01_outputs.txt b/.circleci/test-01_outputs.txt
index 293ffe8c8..5187b0ff9 100644
--- a/.circleci/test-01_outputs.txt
+++ b/.circleci/test-01_outputs.txt
@@ -11,411 +11,271 @@ manual_masks/sub-01/anat/sub-01_run-5_T2w_desc-brain_mask.json
 manual_masks/sub-01/anat/sub-01_run-5_T2w_desc-brain_mask.nii.gz
 manual_masks/sub-01/anat/sub-01_run-6_T2w_desc-brain_mask.json
 manual_masks/sub-01/anat/sub-01_run-6_T2w_desc-brain_mask.nii.gz
-nipype-1.6.0/dataset_description.json
-nipype-1.6.0/sub-01/rec-1/pypeline.log
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/d3.js
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_grabber/_inputs.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_grabber/_node.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_grabber/_report/report.rst
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_grabber/result_data_grabber.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_sinker/_inputs.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_sinker/_node.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_sinker/_report/report.rst
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/data_sinker/result_data_sinker.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/filenames_gen/_inputs.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/filenames_gen/_node.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/filenames_gen/_report/report.rst
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/filenames_gen/result_filenames_gen.pklz
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/graph1.json
-nipype-1.6.0/sub-01/rec-1/srr_pipeline/graph.dot
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diff --git a/.circleci/test-02_outputs.txt b/.circleci/test-02_outputs.txt
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 pymialsrtk-2.0.2/dataset_description.json
 pymialsrtk-2.0.2/sub-01/anat/sub-01_rec-SDI_id-1_T2w.nii.gz
 pymialsrtk-2.0.2/sub-01/anat/sub-01_rec-SR_id-1_desc-motion_stats.tsv
@@ -303,7 +300,6 @@ pymialsrtk-2.0.2/sub-01/anat/sub-01_run-6_id-1_desc-preprocSR_T2w.nii.gz
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_desc-motion_stats.png
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_desc-processing_graph.png
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_T2w.png
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 pymialsrtk-2.0.2/sub-01/logs/sub-01_rec-SR_id-1_log.txt
 pymialsrtk-2.0.2/sub-01/report/sub-01.html
 pymialsrtk-2.0.2/sub-01/xfm/sub-01_run-1_id-1_mod-T2w_from-origin_to-SDI_mode-image_xfm.txt
diff --git a/.circleci/test-03_outputs.txt b/.circleci/test-03_outputs.txt
index 293ffe8c8..5187b0ff9 100644
--- a/.circleci/test-03_outputs.txt
+++ b/.circleci/test-03_outputs.txt
@@ -11,411 +11,271 @@ manual_masks/sub-01/anat/sub-01_run-5_T2w_desc-brain_mask.json
 manual_masks/sub-01/anat/sub-01_run-5_T2w_desc-brain_mask.nii.gz
 manual_masks/sub-01/anat/sub-01_run-6_T2w_desc-brain_mask.json
 manual_masks/sub-01/anat/sub-01_run-6_T2w_desc-brain_mask.nii.gz
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diff --git a/.circleci/test-04_outputs.txt b/.circleci/test-04_outputs.txt
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+nipype-1.7.0/sub-01/rec-1/srr_pipeline/srtkTVSuperResolution/SRTV_sub-01_3V_rad1.json
+nipype-1.7.0/sub-01/rec-1/srr_pipeline/srtkTVSuperResolution/SRTV_sub-01_3V_rad1.nii.gz
+nipype-1.7.0/sub-01/rec-1/srr_pipeline/srtkTVSuperResolution/SRTV_sub-01_3V_rad1.png
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+nipype-1.7.0/sub-01/rec-1/srr_pipeline/stackOrdering/motion_index_QC.png
+nipype-1.7.0/sub-01/rec-1/srr_pipeline/stackOrdering/motion_index_QC.tsv
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+nipype-1.7.0/sub-01/rec-1/srr_pipeline/t2ws_filtered/result_t2ws_filtered.pklz
+nipype-1.7.0/sub-01/rec-1/srr_pipeline/t2ws_filter_prior_masks/_inputs.pklz
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+nipype-1.7.0/sub-01/rec-1/srr_pipeline/t2ws_filter_prior_masks/result_t2ws_filter_prior_masks.pklz
 pymialsrtk-2.0.2/dataset_description.json
 pymialsrtk-2.0.2/sub-01/anat/sub-01_rec-SDI_id-1_T2w.nii.gz
 pymialsrtk-2.0.2/sub-01/anat/sub-01_rec-SR_id-1_desc-motion_stats.tsv
@@ -303,7 +300,6 @@ pymialsrtk-2.0.2/sub-01/anat/sub-01_run-6_id-1_desc-preprocSR_T2w.nii.gz
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_desc-motion_stats.png
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_desc-processing_graph.png
 pymialsrtk-2.0.2/sub-01/figures/sub-01_rec-SR_id-1_T2w.png
-pymialsrtk-2.0.2/sub-01/logs/sub-01_rec-SR_id-1_desc-profiling_log.html
 pymialsrtk-2.0.2/sub-01/logs/sub-01_rec-SR_id-1_log.txt
 pymialsrtk-2.0.2/sub-01/report/sub-01.html
 pymialsrtk-2.0.2/sub-01/xfm/sub-01_run-1_id-1_mod-T2w_from-origin_to-SDI_mode-image_xfm.txt
diff --git a/scripts/test_bidsapp.sh b/scripts/test_bidsapp.sh
new file mode 100644
index 000000000..a09a9f1a9
--- /dev/null
+++ b/scripts/test_bidsapp.sh
@@ -0,0 +1,15 @@
+#!/bin/sh
+SCRIPTSDIR=$(cd "$(dirname "$0")"; pwd)
+BASEDIR="$(dirname "$SCRIPTSDIR")"
+
+# DOCKER_IMAGE="docker.io/sebastientourbier/mialsuperresolutiontoolkit-bidsapp:v2.0.3"
+DOCKER_IMAGE="sebastientourbier/mialsuperresolutiontoolkit-bidsapp:v2.0.3"
+
+docker run -it --rm -u $(id -u):$(id -g) \
+    -v "$BASEDIR/data":/bids_dir \
+    -v "$BASEDIR/data/derivatives":/output_dir \
+    "$DOCKER_IMAGE" \
+    /bids_dir /output_dir participant --participant_label 01 \
+    --param_file /bids_dir/code/participants_params.json \
+    --nipype_nb_of_cores 2 \
+    --openmp_nb_of_cores 1