yusuke1997/dblp-id-title huggingface dataset:
Write Quick, Run Fast: Sparse Deep Neural Network in 20 Minutes of Development Time via SuiteSparse: GraphBLAS
A High-Performance Heterogeneous Critical Path Analysis Framework
GDP: GPU accelerated Detailed Placement
Processing of Crowdsourced Observations of Aircraft in a High Performance Computing Environment
Fast Graph Algorithms for Superpixel Segmentation
GraphBLAS on the Edge: Anonymized High Performance Streaming of Network Traffic
A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions
DistTC: High Performance Distributed Triangle Counting
Distributed-Memory Sparse Deep Neural Network Inference Using Global Arrays
A system-level optimization framework for high-performance networking
An SSD-Based Accelerator for Singular Value Decomposition Recommendation Algorithm on Edge
A survey of cryptographic approaches to securing big-data analytics in the cloud
Variable Precision Multiplication for Software-Based Neural Networks
Filtered Tensor Construction and Decomposition for Drug Repositioning
Predicting Ankle Moment Trajectory with Adaptive Weighted Ensemble of LSTM Networks
Distributed Non-Negative Tensor Train Decomposition
Improving Parallelism of Breadth First Search (BFS) Algorithm for Accelerated Performance on GPUs
Combining Tensor Decompositions and Graph Analytics to Provide Cyber Situational Awareness at HPC Scale
Algorithms for scheduling task-based applications onto heterogeneous many-core architectures
Breadth-First Search on Dynamic Graphs using Dynamic Parallelism on the GPU
Accelerating Supercomputing: AI-Hardware-Driven Innovation for Speed and Efficiency
Securing HPC using Federated Authentication
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration
Enabling massive deep neural networks with the GraphBLAS
Graph algorithms via SuiteSparse: GraphBLAS: triangle counting and K-truss
On the Landscape of Scientific Computing Libraries in Python
How to Prevent a Sick ASIC
Chameleon: A Generalized Reconfigurable Open-Source Architecture for Deep Neural Network Training
Boosting irregular array Reductions through In-lined Block-ordering on fast processors
High level programming of FPGAs for HPC and data centric applications
Linear Algebraic Formulation of Edge-centric K-truss Algorithms with Adjacency Matrices
Cross-engine query execution in federated database systems
Efficient Calculation of Triangle Centrality in Big Data Networks
SlimNets: An Exploration of Deep Model Compression and Acceleration
Exploring Challenges Associated with Employing SmartNICs as General-Purpose HPC Accelerators
Parallel triangle counting and k-truss identification using graph-centric methods
Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification
Design space exploration of GPU Accelerated cluster systems for optimal data transfer using PCIe bus
Opportunistic Query Execution on SmartNICs for Analyzing In-Transit Data
Evaluating critical bits in arithmetic operations due to timing violations
Optimizing Local Computation in Secure Matrix Multiplication for Outsourced Neural Networks
Efficiently Building a Large Scale Dataset for Program Induction
Preliminary Exploration of Large-Scale Triangle Counting on Shared-Memory Multicore System
Efficient Eigenvalue Computation of Parahermitian Matrices Using Neural Networks
An All-at-Once CP Decomposition Method for Count Tensors
D4M 3.0: Extended database and language capabilities
DDR memory errors caused by Row Hammer
Exploring Parallel Bitonic Sort on a Migratory Thread Architecture
Collaborative (CPU + GPU) algorithms for triangle counting and truss decomposition on the Minsky architecture: Static graph challenge: Subgraph isomorphism
Cross-institutional research cyberinfrastructure for data intensive science
HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach
Detection of Multiple Crop Diseases using Image Processing Techniques
Optimal Resource Allocation for Parallel Reservoir Simulation
Computational and memory analysis of Tegra SoCs
A GraphBLAS solution to the SIGMOD 2014 Programming Contest using multi-source BFS
Multiplication of Sparse Matrices and their Transpose Using Compressed Sparse Diagonals
Evaluating accumulo performance for a scalable cyber data processing pipeline
Instruction set extensions for photonic synchronous coalesced accesses
Triangle Counting and Truss Decomposition using FPGA
GPU accelerated geometric multigrid method: Comparison with preconditioned conjugate gradient
Solving Sparse Linear Systems via Flexible GMRES with In-Memory Analog Preconditioning
Extreme SAT-based Constraint solving with R-Solve
Decomposition Based Refinement for the Network Interdiction Problem
NTT-SAA: Exploring NTT Acceleration with 2-D Systolic Array Architecture on FPGAs
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores
Scalable Distributed Memory Community Detection Using Vite
Benchmarking Edge AI Platforms for High-Performance ML Inference
A third generation many-core processor for secure embedded computing systems
Understanding query performance in Accumulo
Emerging Applications of 3D Integration and Approximate Computing in High-Performance Computing Systems: Unique Security Vulnerabilities
Performance Evaluation of LAPACK Using SVE Optimized BLAS Kernels
Solving sparse linear systems with approximate inverse preconditioners on analog devices
3D Real-Time Supercomputer Monitoring
Northeast Cyberteam - Building an Environment for Sharing Best Practices and Solutions for Research Computing
HiPerMotif: Novel Parallel Subgraph Isomorphism in Large-Scale Property Graphs
Standards for graph algorithm primitives
HBM-Based Hardware Accelerator for GNN Sampling and Aggregation
Efficient implementation of scatter-gather operations for large scale graph analytics
Analyzing heterogeneous computing architectures for ADAS and Mobile Imaging applications
On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics
Explicit Ordering Refinement for Accelerating Irregular Graph Analysis
The Aggressive Oversubscribing Scheduling for Interactive Jobs on a Supercomputing System
Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics
A cloud-based brain connectivity analysis tool
A Framework For The Iterative Solution of Sparse Linear Systems on Hybrid Architectures Using Homomorphic Encryption
Performance Evaluation of Mixed-Precision Runge-Kutta Methods
FPGAs in the Network and Novel Communicator Support Accelerate MPI Collectives
Compute, Time and Energy Characterization of Encoder-Decoder Networks with Automatic Mixed Precision Training
High locality and increased intra-node parallelism for solving finite element models on GPUs by novel element-by-element implementation
GPU acceleration of iterative physical optics-based electromagnetic simulations
Large-Scale Bayesian Kinship Analysis
Utilizing Graphics Processing Units for rapid facial recognition using video input
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models
AOCL-Compression - A High Performance Optimized Lossless Data Compression Library
High performance computing of gene regulatory networks using a message-passing model
Socrates - A System For Scalable Graph Analytics
A Deployment Tool for Large Scale Graph Analytics Framework Arachne
Ruggedization of MXM graphics modules
Memory access optimized routing scheme for deep networks on a mobile coprocessor
Apple Silicon Performance in Scientific Computing
A Distributed Framework for Low-Latency OpenVX over the RDMA NoC of a Clustered Manycore
Quantum Computing for Data Calibration in Parallel Magnetic Resonance Imaging Reconstruction
All-at-once Decomposition of Coupled Billion-scale Tensors in Apache Spark
Fast Triangle Counting on GPU
Server-class devices for Space Time Adaptive Processing
A Scalable Code Generation Flow for Heterogeneous Parallel RTL Simulation using MLIR
Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator
HPC Network Simulation Tuning via Automatic Extraction of Hardware Parameters
At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation
Integrating real-time and batch processing in a polystore
Towards Energy-Proportional Anomaly Detection in the Smart Grid
JACC.shared: Leveraging HPC Metaprogramming and Performance Portability for Computations That Use Shared Memory GPUs
Distributed and configurable architecture for neuromorphic applications on heterogeneous cluster
A data-driven framework for uncertainty quantification of a fluidized bed
C to D-Wave: A High-level C Compilation Framework for Quantum Annealers
Exploring Neuromorphic Computing with Loihi-2 for High-Performance CFD Simulations
Logarithmic Radix Binning and Vectorized Triangle Counting
Utilizing GPU Parallelism to Improve Fast Spherical Harmonic Transforms
Studying the Effects of Hashing of Sparse Deep Neural Networks on Data and Model Parallelisms
Computing PageRank Scores of Web Crawl Data Using DGX A100 Clusters
Accelerating Multi-Party Computation Using Heterogeneous Systems
On the Characterization of the Performance-Productivity Gap for FPGA
cuSTINGER: Supporting dynamic graph algorithms for GPUs
High Performance Im2win and Direct Convolutions Using Three Tensor Layouts on SIMD Architectures
New Computing Frontiers Enabled via Photovoltaic Fiber Energy Generation
System-Level Performance Modeling of Photonic In-Memory Computing
Constrained-optimization Approach Delivers Superior Classical Performance for Graph Partitioning via Quantum-ready Method
HuGraph: Acceleration of GCN Training on Heterogeneous FPGA Clusters with Quantization
Pruning Binarized Neural Networks Enables Low-Latency, Low-Power FPGA-Based Handwritten Digit Classification
A linear algebra approach to fast DNA mixture analysis using GPUs
OCO-GAT: An Accelerator for Graph Attention Network with Optimized Calculation Order
Towards a Flexible Hardware Implementation for Mixed-Radix Fourier Transforms
2020 IEEE High Performance Extreme Computing Conference, HPEC 2020, Waltham, MA, USA, September 22-24, 2020
Application Aware Tuning of Reconfigurable Multi-Layer Perceptron Architectures
Performance Estimation for Efficient Image Segmentation Training of Weather Radar Algorithms
Accelerating Push-Relabel Algorithm on GPU via Two-Level Parallelism Paradigm and Efficient CSR Designs
GoblinCore-64: A RISC-V Based Architecture for Data Intensive Computing
GLITCHES: GPU-FPGA LLM Inference Through a Collaborative Heterogeneous System
AOCL-CST - A new CPU Stress Test library for AMD CPUs
Manifold Transfer Networks for Lens Distortion Rectification
Towards Automated Reasoning Chains for Verification of LLM-Generated Scientific Code
FPGA Acceleration of Fully Homomorphic Encryption over the Torus
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis
Leveraging Mathworks Tools to Accelerate the Prototyping of Custom 5G Applications in Hardware
Dynamically configurable online statistical flow feature extractor on FPGA
Software-defined extreme scale networks for bigdata applications
Towards Faster Graph Partitioning via Pre-Training and Inductive Inference
2016 IEEE High Performance Extreme Computing Conference, HPEC 2016, Waltham, MA, USA, September 13-15, 2016
Accelerating Multi-Agent DDPG Training on Multi-GPU Platforms
Improving Scheduling for Irregular Applications with Logarithmic Radix Binning
Improving Uncertainty Based Dataset Pruning with Density Estimation for Noisy Edge Environments
Performance Study of GPU applications using SYCL and CUDA on Tesla V100 GPU
High-Performance Computing (HPC) and Machine Learning Demonstrated in Flight Using Agile Condor ®
Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System
Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms
Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets
MST in Incremental Graphs Through Tree Contractions
Accelerator Design and Performance Modeling for Homomorphic Encrypted CNN Inference
Exploiting free silicon for energy-efficient computing directly in NAND flash-based solid-state storage systems
A nested dissection partitioning method for parallel sparse matrix-vector multiplication
Task scheduling for reconfigurable systems in dynamic fault-rate environments
Low-overhead load-balanced scheduling for sparse tensor computations
Advanced load balancing for SPH simulations on multi-GPU architectures
Data transformation and migration in polystores
Silicon photonic memory interconnect for many-core architectures
A congestion control mechanism for SDN-based fat-tree networks
Optimizing FPGA Memory Allocation for Matrix-Matrix Multiplication Using Bayesian Optimization
WCET Analysis of GPU L1 Data Caches
Investigating the Impact of Algorithms and Hardware on Machine Learning Models in HPC Systems
FIDES: Enhancing trust in reconfigurable based hardware systems
Composable Mission-Critical Embedded System Architecture for High Assurance
2018 IEEE High Performance Extreme Computing Conference, HPEC 2018, Waltham, MA, USA, September 25-27, 2018
Scalable cryptographic authentication for high performance computing
Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
Hunting the Needle - The Potential of Innovation in Architecture
Performance of Graph Analytics Applications on Many-Core Processors
Optimizing GPU Kernels for Irregular Batch Workloads: A Case Study for Cholesky Factorization
Achieving 100, 000, 000 database inserts per second using Accumulo and D4M
Parallel Clustering with Resolution Variation
Using Container Migration for HPC Workloads Resilience
Modeling and Analyzing Wind Velocity at Entrance Doors to Avoid Accidents
Fast BFS-Based Triangle Counting on GPUs
Characterization of Sparsity-aware Parallelization of Jaccard Similarity in Graph Datasets
Quantifying the effect of matrix structure on multithreaded performance of the SpMV kernel
Spectral Graph Partitioning Using Geodesic Distance-based Projection
Design and Implementation of a Real-time Parallel FFT for a Direction-Finding System on an FPGA
Breakthrough Edge AI Inference Performance Using Northpole in 3U Vpx Form Factor
A Framework to Enable Algorithmic Design Choice Exploration in DNNs
Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks
Biquad implementation of an IIR filter for IQ mismatch correction in an SoC RF receiver
High-Level Frameworks: Effect on Transformer Inference Time and Power on Embedded GPU Devices
Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud
High-Level Framework for Solving Systems of the PDEs on Distributed Systems
Concurrent Katz Centrality for Streaming Graphs
Secure Virtual Network Embedding Through Fully Homomorphic Encryption
Fast Triangle Counting Using Cilk
Chapel HyperGraph Library (CHGL)
Batch-Parallel Compressed Sparse Row: A Locality-Optimized Dynamic-Graph Representation
An ensemble framework for detecting community changes in dynamic networks
A High-performance Deployment Framework for Pipelined CNN Accelerators with Flexible DSE Strategy
Fast Stochastic Block Partition for Streaming Graphs
Scaling Graph Clustering with Distributed Sketches
DNN-Driven Task Scheduling for High Performance Edge-Cloud Heterogeneous Systems
HAMLeT: Hardware accelerated memory layout transform within 3D-stacked DRAM
Exploring Sparse Inference with SuiteSparse: GraphBLAS
A Comprehensive Comparison and Analysis of OpenACC and OpenMP 4.5 for NVIDIA GPUs
High-performance packet classification on GPU
Generalized Methodology for Determining Numerical Features of Hardware Floating-Point Matrix Multipliers: Part I
Mixed data layout kernels for vectorized complex arithmetic
Mathematical foundations of the GraphBLAS
Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications
A distributed algorithm for the efficient computation of the unified model of social influence on massive datasets
Novo-G#: Large-scale reconfigurable computing with direct and programmable interconnects
Sampling large graphs for anticipatory analytics
SMOG: Accelerating Subgraph Matching on GPUs
Node-Based Job Scheduling for Large Scale Simulations of Short Running Jobs
Block Processor: A resource-distributed architecture
Lossless Compression of Internal Files in Parallel Reservoir Simulation
Packing Narrow-Width Operands to Improve Energy Efficiency of General-Purpose GPU Computing
Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing
Secure architecture for embedded systems
Robust Fine-Tuning of Vision-Language Models for Domain Generalization
A performance model of fast 2D-DCT parallel JPEG encoding using CUDA GPU and SMP-architecture
An Efficient Multi-DNN Accelerator Based on Multiple Systolic Arrays
GPU implementation of reverse coordinate conversion for proteins
A Parallel Simulation Approach to ACAS X Development
Feature-Oriented FSMs for FPGAs
Cyber Baselining: Statistical properties of cyber time series and the search for stability
Predictive Performance of Photonic SRAM-Based in-Memory Computing for Tensor Decomposition
A Run-Time Configurable NTT Architecture for Homomorphic Encryption Based on 3D Algorithm
Optimizing communication for a 2D-partitioned scalable BFS
Bisection and twisted SVD on GPU
P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code
Accelerating sparse matrix-matrix multiplication with 3D-stacked logic-in-memory hardware
GraphSDH: A General Graph Sampling Framework with Distribution and Hierarchy
An FPGA co-processor implementation of Homomorphic Encryption
DMM-GAPBS: Adapting the GAP Benchmark Suite to a Distributed Memory Model
Monte Carlo simulations on Intel Xeon Phi: Offload and native mode
Performance portability of a fluidized bed solver
Simulation Approach to Sensor Placement Using Unity 3D
Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics
Kv2vec: A Distributed Representation Method for Key-value Pairs from Metadata Attributes
Survey of Machine Learning Accelerators
A Scalable Architecture for CNN Accelerators Leveraging High-Performance Memories
Web-Based Intelligent Decision Support System for Real-Time Toll Plaza Management and AI-Driven Operational Optimization
Fast and Scalable Distributed Tensor Decompositions
LLload: An Easy-to-Use HPC Utilization Tool
Accelerating MRI Reconstruction on TPUs
Load Imbalance in HPC Applications: Improved Profiling and New Ways to Use Wasted Cycles
A Holistic Optimisation - Success Mantra for HPC Performance
IOS: A Low Cost Defense to Mitigate Meltdown and Spectre Like Attacks
Compressed Cannon's Algorithm
Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M
Synthetic aperture radar imaging on a CUDA-enabled mobile platform
Efficient Neighbor-Sampling-based GNN Training on CPU-FPGA Heterogeneous Platform
Real-Time Software Architecture for EM-Based Radar Signal Processing and Tracking
CUDA implementation of an optimal online Gaussian-Signal-in-Gaussian-Noise detector
GPU accelerated elevation map based registration of aerial images
Benchmarking SciDB data import on HPC systems
Comparative Analysis of RISC-V Softcore and Hardcore Processors for Space Computing
2019 IEEE High Performance Extreme Computing Conference, HPEC 2019, Waltham, MA, USA, September 24-26, 2019
TriC: Distributed-memory Triangle Counting by Exploiting the Graph Structure
A Locality Sensitive Hashing Based Algorithm to Accelerate Neighborhood Search in Graph Neural Operators
Optimising AI Training Deployments using Graph Compilers and Containers
Computing on masked data: a high performance method for improving big data veracity
Chip-to-chip Optical Data Communications using Polarization Division Multiplexing
Towards an Objective Metric for the Performance of Exact Triangle Count
IEEE High Performance Extreme Computing Conference, HPEC 2014, Waltham, MA, USA, September 9-11, 2014
Multistart Methods for Quantum Approximate optimization
pPython Performance Study
Lincoln AI Computing Survey (LAICS) and Trends
HLS Portability from Intel to Xilinx: A Case Study
Train and Deploy an Image Classifier for Disaster Response
A Composable Just-In-Time Programming Framework with LLMs and FBP
Applying Neuromorphic Computing to Compressive Sensing
Elucidating US Import Supply Chain Dynamics: A Spatial-Temporal Graph Neural Network Approach
A Fault Tolerant Implementation for a Massively Parallel Seismic Framework
Exploiting Fusion Opportunities in Linear Algebraic Graph Query Engines
A test-suite generator for database systems
Accelerating protein coordinate conversion using GPUs
Fast parallel algorithm for unfolding of communities in large graphs
PAKCK: Performance and power analysis of key computational kernels on CPUs and GPUs
Comparison of Vectorization Capabilities of Different Compilers for X86 and ARM CPUs
An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks
Optimizing Use of Different Types of Memory for FPGAs in High Performance Computing
GPGPU parallelization of self-calibrating agent-based influenza outbreak simulation
Tightly-Coupled FPGA Accelerator for Molecular Dynamics Simulation: Hardware-Software Co-Design and Fine-Grained Task Management
Improving Statistical Characterization of Data Tensors with the Generalized Canonical Polyadic Tensor Decomposition
An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures
Fast Mapping onto Census Blocks
Application of Approximate Matrix Multiplication to Neural Networks and Distributed SLAM
VeBPF Many-Core Architecture for Network Functions in FPGA-based SmartNICs and IoT
Integrity verification for path Oblivious-RAM
Optimizing a Distributed Graph Data Structure for K - Path Centrality Estimation on HPC
Parallel Online Directed Acyclic Graph Exploration for Atlasing Soft-Matter Assembly Configuration Spaces
Julia GraphBLAS with Nonblocking Execution
Embedded GPU Cluster Computing Framework for Inference of Convolutional Neural Networks
Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring
Enterprise HPC storage systems
High-performance algorithms and data structures to catch elephant flows
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole
Combinatorial Tiling for Sparse Neural Networks
Enabling Transformers to Understand Low-Level Programs
StressBench: A Configurable Full System Network and I/O Benchmark Framework
Model Quantization and Synthetic Aperture Data Analyses Increasing Throughput and Energy Efficiency
Scalable Graph Algorithms on Distributed UpDown Accelerators
Scalable Triangle Counting on Distributed-Memory Systems
AI-Powered Network Energy Optimization Machine Learning Approaches to Reducing Network Power Consumption
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters
Enhanced Knowledge Graph Attention Networks for Efficient Graph Learning
Sustainably Modeling a Sustainable Future Climate
Python Implementation of the Dynamic Distributed Dimensional Data Model
Implementing Hilbert transform for Digital Signal Processing on epiphany many-core coprocessor
Power Efficient Deep Learning Acceleration Using Intel Xeon Processors
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware
On the Adaptation of Mixed-Radix Fast Fourier Transform for Resource-Constrained Environments
Bandwidth Allocation in Silicon-Photonic Networks Using Application Instrumentation
Weighted Histogram Matching for Improved Automated Synthetic Aperture Radar (SAR)-optical Image Registration
Powering Practical Performance: Accelerated Numerical Computing in Pure Python
BanglaDocAtlas: A Multi-Class Annotated Dataset for Complex Bangla Document Layout Analysis
Scalable Interactive Autonomous Navigation Simulations on HPC
Mapping of Internet "Coastlines" via Large Scale Anonymized Network Source Correlations