yusuke1997/dblp-id-title huggingface dataset:
Algebraic Vertex Ordering of a Sparse Graph for Adjacency Access Locality and Graph Compression
Node level power measurements on a petaflop system
Scientific computing using consumer video-gaming embedded devices
Dynamic Deployment of Communication Applications to Different Hardware Platforms using Ontological Representations
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection
Adaptive Spectral Block Floating Point for Discontinuous Galerkin Methods
Efficient extraction of high centrality vertices in distributed graphs
Power iteration with probabilistic updates for systems with heterogeneous performance
A Parallel Implementation of FANO using OpenMP and MPI
Introducing DyMonDS-as-a-Service (DyMaaS) for Internet of Things
CRAMP: Categorizing Classifiers and Regressors for Scalable Parallelism on Distributed and Multicore Systems
PageRank Acceleration for Large Graphs with Scalable Hardware and Two-Step SpMV
An evaluation of lazy fault detection based on Adaptive Redundant Multithreading
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace
A Novel 1D-Convolution Accelerator for Low-Power Real-time CNN processing on the Edge
Detecting Expert-Written Comments in Stack Exchange
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations
Scalable stochastic block partition
Performance Strategies for Parallel Bitonic Sort on a Migratory Thread Architecture
Parallel k-truss decomposition on multicore systems
A Framework for Analyzing the Robustness of Graph Models
Accelerating K-Means clustering with parallel implementations and GPU computing
Accelerating Distributed Inference of Sparse Deep Neural Networks via Mitigating the Straggler Effect
An Evaluation of Low Overhead Time Series Preprocessing Techniques for Downstream Machine Learning
Accelerating Sensor Fusion in Neuromorphic Computing: A Case Study on Loihi-2
Characterization of semi-synthetic dataset for big-data semantic analysis
TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines
Parameter setting for quantum annealers
CQNN: a CGRA-based QNN Framework
Real-time, low-latency image processing with high throughput on a multi-core SoC
Enhancing Sentiment Classification of E-commerce Reviews for Actionable Insights using LLMs
Broadening the exploration of the accelerator design space in embedded scalable platforms
Parallel Longest Common SubSequence Analysis In Chapel
2D Distributed Label Propagation on 400 GPUs
Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure
Stripmap SAR Pulse Interleaved Scheduling
Layer-Parallel Training with GPU Concurrency of Deep Residual Neural Networks via Nonlinear Multigrid
Optimization of symmetric tensor computations
Quickly finding a truss in a haystack
Algorithm and hardware co-optimized solution for large SpMV problems
Hypersparse Neural Network Analysis of Large-Scale Internet Traffic
Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures
Evaluating One-Sided Communication on Graph500 with MPI-RMA and OpenSHMEM
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA
A Neural Network Based GCC Cost Model for Faster Compiler Tuning
An investigation of Unified Memory Access performance in CUDA
Benchmarking Deep Learning with Representative ONNX Subgraphs
SANST: Sensing Anonymized Network via Sorted Triplets
Power-aware computing: Measurement, control, and performance analysis for Intel Xeon Phi
Design and implementation of parallel PageRank on multicore platforms
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis
CrowdCL: Web-based volunteer computing with WebCL
The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications
Task-Level Parallelism for the Multifrontal Method in Tightly Coupled CPU-FPGA Architectures
Hypersparse Network Flow Analysis of Packets with GraphBLAS
Degree Matrix Comparison for Graph Alignment
Implications of Reduced Communication Precision in a Collocated Discontinuous Galerkin Finite Element Framework
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations
Big Data strategies for Data Center Infrastructure management using a 3D gaming platform
Sparse Dual of the Density Peaks Algorithm for Cluster Analysis of High-dimensional Data
Optimizing Sparse Matrix-Vector Multiplication on GPUs using the Mathematics of Arrays
Adiabatic quantum computing for finding low-peak-sidelobe codes
Model-based compute orchestration for resource-constrained repeating flows
OSCAR: Optimizing SCrAtchpad reuse for graph processing
Julia implementation of the Dynamic Distributed Dimensional Data Model
A scale-free structure for power-law graphs
Application of convolutional neural networks on Intel® Xeon® processor with integrated FPGA
Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency
On SDN-based extreme-scale networks
Are van Emde Boas trees viable on the GPU?
Evaluation of Habitat Robotics using Large Language Models
Analysis of floating-point round-off error in linear algebra routines for graph clustering
Algorithm Flattening: Complete branch elimination for GPU requires a paradigm shift from CPU thinking
ProtoX: A First Look
CTAM Tool for Hyperscaler Qualification
BigDAWG polystore query optimization through semantic equivalences
Triangle Counting with A Multi-Core Computer
Surrogate ML/AI Model Benchmarking for FAIR Principles' Conformance
H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs
Toward Performance Portable Programming for Heterogeneous Systems on a Chip: A Case Study with Qualcomm Snapdragon SoC
One Quadrillion Triangles Queried on One Million Processors
In-Place Multicore SIMD Fast Fourier Transforms
In-storage embedded accelerator for sparse pattern processing
Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations
Anonymized Network Sensing using C++26 std::execution on GPUs
Software systems for high-performance quantum computing
Characterization and Optimization of the Fitting of Quantum Correlation Functions
Maneuver Identification Challenge
Large Scale Organization and Inference of an Imagery Dataset for Public Safety
COMET: A Distributed Metadata Service for Federated Cloud Infrastructures
Optimizing energy consumption and parallel performance for static and dynamic betweenness centrality using GPUs
Parallel search of k-nearest neighbors with synchronous operations
Scalable Approach for Analytic Polynomial Subspace Projection Matrices for a Space-Time Covariance Matrix
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis
Parallel Computing with DNA Forensics Data
ECG Feature Processing Performance Acceleration on SLURM Compute Systems
Graphical Learning Optimization and Dimensionality Reduction with Geometric Multi-Resolution Analysis
Easy Acceleration with Distributed Arrays
Quantifying the Gap between Open-Source and Vendor FPGA Place and Route Tools
Accelerated low-rank updates to tensor decompositions
Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software
Energy optimizations for FPGA-based 2-D FFT architecture
AMulti-GPU PCISPH Implementation with Efficient Memory Transfers
LLMapReduce: Multi-level map-reduce for high performance data analysis
Dynamic Task Scheduling with Data Dependency Awareness Using Julia
Analysis and Optimization of Spiking Neural Network Simulations on GPUs
Progressive Optimization of Batched LU Factorization on GPUs
Novel algebras for advanced analytics in Julia
First look: Linear algebra-based triangle counting without matrix multiplication
GPU-accelerated charge mapping
GPU-Accelerated High-Bandwidth Radar Centroiding
GBTLX: A First Look
SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data
Synthesis of Hardware Sandboxes for Trojan Mitigation in Systems on Chip
Implementing Sparse Linear Algebra Kernels on the Lucata Pathfinder-A Computer
Novel graph processor architecture, prototype system, and results
A GPU Implementation of the Sparse Deep Neural Network Graph Challenge
Sparse matrix-vector multiply on the Keystone II Digital Signal Processor
A signals processing and big data framework for Monte Carlo aircraft encounters
Regression Based WCET Analysis For Sampling Based Motion Planning
Delayed Asynchronous Iterative Graph Algorithms
The GraphBLAS in Julia and Python: the PageRank and Triangle Centralities
Combinatorial Multigrid: Advanced Preconditioners For Ill-Conditioned Linear Systems
Investigation of Spectral Clustering for Signed Graph Matrix Representations
Knowledge-guided Tensor Decomposition for Baselining and Anomaly Detection
Minesweeper: A Novel and Fast Ordered-Statistic CFAR Algorithm
Optimization and evaluation of image- and signal-processing kernels on the TI C6678 multi-core DSP
Unlocking Performance-Programmability by Penetrating the Intel FPGA OpenCL Toolflow
Pragmatic Benchmarking for Research Computing
Energy-Efficient DNN Computing on GPUs Through Register File Management
A GraphBLAS Implementation of Triangle Centrality
Towards a Framework for Etymological Analysis of Literary and AI Works
Fast and Adaptive List Intersections on the GPU
Hardware IP Classification through Weighted Characteristics
Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining 1
Evaluating Cryptographic Performance of Raspberry Pi Clusters
Performance measurements of supercomputing and cloud storage solutions
GraphBLAS C API: Ideas for future versions of the specification
Adding scalability to Internet of Things gateways using parallel computation of edge device data
How naive is naive SpMV on the GPU?
Classification frameworks comparison on 3D point clouds
Towards -OmL: A Deep Learning Based Approach for Outperforming Compiler Defaults
Supercomputing Enabled Deployable Analytics for Disaster Response
Large Scale String Analytics in Arkouda
Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing
Towards an Algorithm-based Approach for Soft Error Tolerance using Interval Arithmetic
uSAP: An Ultra-Fast Stochastic Graph Partitioner
The BigDawg monitoring framework
Performance and energy limits of a processor-integrated FFT accelerator
Packed Compressed Sparse Row: A Dynamic Graph Representation
Evaluating an OpenCL FPGA Platform for HPC: a Case Study with the HACCmk Kernel
A Hierarchical Jacobi Iteration for Structured Matrices on GPUs using Shared Memory
Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
Distributed workflows for modeling experimental data
Scalable and Portable Pipelines for Predicting 3D Protein Structures on Standalone and HPC Systems
On the Scalability of Computing Genomic Diversity Using SparkLeBLAST: A Feasibility Study
Anonymized Network Sensing Graph Challenge
LLSuperCloud: Sharing HPC systems for diverse rapid prototyping
Accelerating Sparse Deep Neural Networks on FPGAs
Towards Hardware Accelerated Garbage Collection with Near-Memory Processing
Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs
2017 IEEE High Performance Extreme Computing Conference, HPEC 2017, Waltham, MA, USA, September 12-14, 2017
Lustre, hadoop, accumulo
Accuracy and Performance Comparison of Video Action Recognition Approaches
An application of the constraint programming to the design and operation of synthetic aperture radars
Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels
Graph Embedding and Field Based Detection of Non-Local Webs in Large Scale Free Networks
An Integrated Approach for Accelerating Stochastic Block Partitioning
Zero Trust Architecture Approach for Developing Mission Critical Embedded Systems
Improving Big Data visual analytics with interactive virtual reality
High-performance low-energy implementation of cryptographic algorithms on a programmable SoC for IoT devices
Evaluating SEU Resilience of CNNs with Fault Injection
An Efficient Multi-Core Parallel Implementation of SSSP Algorithm with Decreasing Delta-Stepping
HTC: Hybrid vertex-parallel and edge-parallel Triangle Counting
Automatic cluster parallelization and minimizing communication via selective data replication
Accelerating Temporal Triangle Counting and Betweenness Centrality on GPUs
Applying the Midas Touch of Reproducibility to High-Performance Computing
GraphBLAS Mathematical Opportunities: Parallel Hypersparse, Matrix Based Graph Streaming, and Complex-Index Matrices
Tyche: A Compact and Configurable Accelerator for Scalable Probabilistic Computing on FPGA
Stability-Optimized High Order Methods and Stiffness Detection for Pathwise Stiff Stochastic Differential Equations
A High Throughput Hardware Accelerator for FFTW Codelets: A First Look
Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures
SHARP: Software Hint-Assisted Memory Access Prediction for Graph Analytics
Hash Table Scalability on Intel PIUMA
Rapid prototyping with symbolic computation: Fast development of quantum annealing solutions
GPU accelerated blood flow computation using the Lattice Boltzmann Method
Coarse-grain reconfigurable ASIC through multiplexer based switches
A task-based linear algebra Building Blocks approach for scalable graph analytics
Auxiliary Maximum Likelihood Estimation for Noisy Point Cloud Registration
Distributed-memory fast maximal independent set
TRACER Software Switching at Waveform Timescales
Target Classification in Synthetic Aperture Radar and Optical Imagery Using Loihi Neuromorphic Hardware
Towards a Generic UVM
Scalable and dynamically updatable lookup engine for decision-trees on FPGA
Execution of Complete Molecular Dynamics Simulations on Multiple FPGAs
iBench: a Distributed Inference Simulation and Benchmark Suite
GPU Accelerated Anomaly Detection of Large Scale Light Curves
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs
Focusing and Calibration of Large Scale Network Sensors Using GraphBLAS Anonymized Hypersparse Matrices
An improved eigensolver for quantum-dot cellular automata simulations
G-MAP: A Graph Neural Network-Based Framework for Memory Access Prediction
Leveraging Mixed Precision in Exponential Time Integration Methods
Persistent and Partitioned MPI for Stencil Communication
UNet Performance with Wafer Scale Engine (Optimization Case Study)
Achieving low latency, reduced memory footprint and low power consumption with data streaming
A Framework for Task Mapping onto Heterogeneous Platforms
xDCI, a data science cyberinfrastructure for interdisciplinary research
Finding Your Niche: An Evolutionary Approach to HPC Topologies
Benchmarking parallel eigen decomposition for residuals analysis of very large graphs
A Hybrid-Pipelined Architecture for FPGA-based Binary Weight DenseNet with High Performance-Efficiency
Ultra Low-Power Deep Learning Applications at the Edge with Jetson Orin AGX Hardware
OpenCL for HPC with FPGAs: Case study in molecular electrostatics
HENNC: Hardware Engine for Artificial Neural Network-Based Chaotic Oscillators
An Analysis of Accelerator Data-Transfer Modes in NoC-Based SoC Architectures
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research
Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine
Machine Learning Fairness is Computationally Difficult and Algorithmically Unsatisfactorily Solved
Singularity for Machine Learning Applications - Analysis of Performance Impact
On-chip memory efficient data layout for 2D FFT on 3D memory integrated FPGA
Hardware Trojan Detection Utilizing Graph Neural Networks and Structural Checking
Accelerating DNN Inference with GraphBLAS and the GPU
Dynamic Computational Diversity with Multi-Radix Logic and Memory
Real time change point detection by incremental PCA in large scale sensor data
Software-Defined IDS for securing embedded mobile devices
Errant Beam Detection Using the AMD Versal ACAP and Vitis AI
MAVR: Multi-Functional Point Cloud Annotations Using Virtual Reality
AI Accelerator Survey and Trends
Employing High-Performance PETSc Network Simulation for Business Profit Analysis
Exploiting SPM-aware Scheduling on EPIC architectures for high-performance real-time systems
pPython for Parallel Python Programming
Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems
Flexible Hardware Accelerator Design Generation with Spiral
Optimized three-dimensional stencil computation on Fermi and Kepler GPUs
Sparse matrix assembly on the GPU through multiplication patterns
LessMine: Reducing Sample Space and Data Access for Dense Pattern Mining
Triangle counting via vectorized set intersection
A framework to integrate MFiX with Trilinos for high fidelity fluidized bed computations
BUG: Balanced DFS-Based Subgraph Matching with a ReUse Strategy on GPUs
Improving Regression in Spiking Neural Networks for Oceanographic Data Analysis
HPC-VMs: Virtual machines in high performance computing systems
Enabling Exploratory Large Scale Graph Analytics through Arkouda
Landmark routing for large graphs in fixed-memory environments
System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations
Agile Condor: A scalable high performance embedded computing architecture
CUDA and OpenCL implementations of 3D CT reconstruction for biomedical imaging
Im2win: Memory Efficient Convolution On SIMD Architectures
An interface for multidimensional arrays in Arkouda
Fast functional simulation with a dynamic language
MAGMA embedded: Towards a dense linear algebra library for energy efficient extreme computing
Ultra-high fidelity radio frequency propagation modeling using distributed high performance graphical processing units: A simulator for multi-element non-stationary antenna systems
A variable-precision implementation of the ADER-DG algorithm
Boundary Integral Solver Approaches for Particle Accelerator Simulation Problems and Deployment on NERSC Hardware
Benchmarking the Processing of Aircraft Tracks with Triples Mode and Self-Scheduling
Continuous Deep Equilibrium Models: Training Neural ODEs Faster by Integrating Them to Infinity
Performance and productivity evaluation of hybrid-threading HLS versus HDLs
Implementation of Tensor Network Simulation TN-Sim under NWQ-Sim
2015 IEEE High Performance Extreme Computing Conference, HPEC 2015, Waltham, MA, USA, September 15-17, 2015
KTRussExPLORER: Exploring the Design Space of K-truss Decomposition Optimizations on GPUs
Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment
Beyond Floating-Point Ops: CNN Performance Prediction with Critical Datapath Length
Streaming graph challenge: Stochastic block partition
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets
Improved Compression for Word Embeddings by Scaling Principal Components
Exploring the Trade-Off Between Repair Time and Reliability in Large Scale Cluster Computers: A Simulation-Based Approach
Hybrid flash arrays for HPC storage systems: An alternative to burst buffers
Evaluation of the Imbalance Evolution in Parallel Reservoir Simulation
Scaling Triangle Counting and K-Truss on the UpDown Architecture
Beyond Zero Trust: Reclaiming Blue Cyberspace with AI
Design of Asynchronous Polymorphic Logic Gates for Hardware Security
Performance Effects of Dynamic Graph Data Structures in Community Detection Algorithms
Performance Analysis of Graph Neural Network (GNN) for Manufacturing Feature Recognition Problem
Benchmarking Resource Usage for Efficient Distributed Deep Learning
Soft-Core. Multiple-Lane, FPGA-based ADCs for a Liquid Helium Environment
Energy- and area-efficient parameterized lifting-based 2-D DWT architecture on FPGA
How to Efficiently Train Your AI Agent? Characterizing and Evaluating Deep Reinforcement Learning on Heterogeneous Platforms
The Parallel Research Kernels
Proposed Empirical Assessment of Remote Workers' Cyberslacking and Computer Security Posture to Assess Organizational Cybersecurity Risks
Community Detection for Large Graphs on GPUs with Unified Memory
GraphChallenge.org Triangle Counting Performance
3D FFT for FPGAs
Comparative Analysis of GCC and LLVM for Performance Optimization on Aarch64
Lessons from Nature for Computing: Looking beyond Moore's Law with Special Purpose Computing and Co-design *
High throughput energy efficient parallel FFT architecture on FPGAs
SIMD acceleration of modular arithmetic on contemporary embedded platforms
Investigating TI KeyStone II and quad-core ARM Cortex-A53 architectures for on-board space processing
A scale-free structure for real world networks
Performance Modeling of Heterogeneous Edge-Cloud Systems with Machine Learning
Big data dimensional analysis
FAST-CON: a Multi-source Approach for Efficient S- T Connectivity on Sparse Graphs
Acceleration of Synthetic Aperture Radar for On-board Space Systems
Site-Wide HPC Data Center Demand Response
IP Cores for Graph Kernels on FPGAs
Vyasa: A High-Performance Vectorizing Compiler for Tensor Convolutions on the Xilinx AI Engine
Robust graph traversal: Resiliency techniques for data intensive supercomputing
Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions
Balancing Performance and Productivity: A Comparative Study of Apache Arrow vs. MPI
Mobile-Optimized Real-Time Vessel Detection for Ultrasound-Guided Surgical Procedures
Large Scale Enrichment and Statistical Cyber Characterization of Network Traffic
An accelerated procedure for hypergraph coarsening on the GPU
Fusing Non Element-wise Layers in DNNs
Performance challenges for heterogeneous distributed tensor decompositions
A GPU accelerated virtual scanning confocal microscope
Performance analysis and acceleration of explicit integration for large kinetic networks using batched GPU computations
Towards Efficient Sparse Deep Neural Network Inference via Multi-level Concurrency Orchestration
Enhancing the performance and robustness of the FEAST eigensolver
Hardware Design and Implementation of Post-Quantum Cryptography Kyber
Heterogeneous work-stealing across CPU and DSP cores
Optimizing Xeon Phi for Interactive Data Analysis
BLAST: Blockchain-based Trust Management in Smart Cities and Connected Vehicles Setup
C2QA - Bosonic Qiskit
A MATLAB-to-target development workflow using Sourcery VSIPL++
Toward HDL Extensions for Rapid AI/ML Accelerator Generation
Scalable static and dynamic community detection using Grappolo
Algorithm/hardware co-optimized SAR image reconstruction with 3D-stacked logic in memory
Multiarchitecture Hardware Acceleration of Hyperdimensional Computing
Hybrid Computing Architecture Based on Analog Phase-Change Memory Chips for Deep Neural Network Training
STINGER: High performance data structure for streaming graphs
Increasing Accuracy of Iterative Refinement in Limited Floating-Point Arithmetic on Half-Precision Accelerators
A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics
Performance Analysis of Inline Compression in pySDC
GCN Inference Acceleration using High-Level Synthesis
Machine learning for accurate and fast bandgap prediction of solid-state materials
MESM: A Query-Agnostic and Memory-Efficient Parallel Subgraph Matching Algorithm
Multithreaded Layer-wise Training of Sparse Deep Neural Networks using Compressed Sparse Column
An Interactive LiDAR to Camera Calibration
When Structure is Silent: Opportunities for Algorithmic Dispatch in Linear Algebra
Quantum Machine Learning in the Cognitive Domain: Alzheimer's Disease Study
Parallel Algorithms for Computing Jaccard Weights on Graphs using Linear Algebra
Program fracture and recombination for efficient automatic code reuse
Damping Effect on PageRank Distribution
Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations
Distributed Out-of-Memory SVD on CPU/GPU Architectures
GPU optimizations for a production molecular docking code
Scaling Betweenness Centrality in Dynamic Graphs
BigDAWG version 0.1
Predicting Ports Congestion by Utilizing State Space Models