high performance computing on graphics processing units: hgpu.org

hgpu.org » HPC

FSpGEMM: An OpenCL-based HPC Framework for Accelerating General Sparse Matrix-Matrix Multiplication on FPGAs

Erfan Bank Tavakoli, Michael Riera, Masudul Hassan Quraishi, Fengbo Ren

View

Tags: Algorithms, Computer science, FPGA, HPC, Linear Algebra, Matrix multiplication, nVidia, nVidia GTX Titan X, OpenCL, Sparse matrix

December 26, 2021 by hgpu

High performance computing on Android devices – a case study

Robert Fritze, Claudia Plant

View

Download (PDF)

Tags: AMD Radeon VII, Android, ATI, Benchmarking, Computer science, HPC, nVidia GeForce Titan V, OpenCL

December 12, 2021 by hgpu

GPU backed Data Mining on Android Devices

Robert Fritze, Claudia Plant

View

Download (PDF)

Source codes

Tags: Android, Computer science, Data mining, HPC, Machine learning, OpenCL, Package

December 12, 2021 by hgpu

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

Moteb Alghamdi, Graham Riley, Mike Ashworth

View

Download (PDF)

Tags: Computer science, FPGA, HLS, HPC, OpenCL

November 28, 2021 by hgpu

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

Zane Fink, Simeng Liu, Jaemin Choi, Matthias Diener, Laxmikant V. Kale

View

Download (PDF)

Source codes

Tags: Benchmarking, Computer science, CUDA, Distributed computing, HPC, Machine learning, MPI, nVidia, Package, Performance, Python, Tesla V100

November 14, 2021 by hgpu

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems

Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K Panda

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, Deep learning, HPC, Machine learning, MPI, nVidia, Python, Tesla V100

October 24, 2021 by hgpu

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

Tsung-Wei Huang, Dian-Lun Lin, Chun-Xun Lin, Yibo Lin

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, HPC, Machine learning, nVidia, nVidia GeForce GTX 2080, Package

September 26, 2021 by hgpu

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Keren Zhou, Laksono Adhianto, Jonathon Anderson, Aaron Cherian, Dejan Grubisic, Mark Krentel, Yumeng Liu, Xiaozhu Meng, John Mellor-Crummey

View

Download (PDF)

Source codes

Tags: AMD Radeon Instinct Mi50, ATI, Code generation, Computer science, HPC, nVidia, OpenCL, Performance, Tesla V100

September 19, 2021 by hgpu

High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results

Navdeep Katel, Vivek Khandelwal, Uday Bondhugula

View

Download (PDF)

Source codes

Tags: Code generation, Computer science, CUBLAS, CUDA, HPC, Matrix multiplication, nVidia, nVidia GeForce RTX 3090, Package

September 5, 2021 by hgpu

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks

Nina Ihde, Paula Marten, Ahmed Eleliemy, Gabrielle Poerwawinata, Pedro Silva, Ilin Tolovski, Florina M. Ciorba, Tilmann Rabl

View

Download (PDF)

Tags: Benchmarking, Computer science, HPC, Machine learning, survey

August 29, 2021 by hgpu

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs

Shandong Lao, Aaron Holt, Deepthi Vaidhynathan, Hariswaran Sitaraman, Christine M. Hrenya, Thomas Hauser

View

Download (PDF)

Tags: cfd, CUDA, Fluid dynamics, HPC, nVidia, nVidia A100, Tesla V100

August 22, 2021 by hgpu

Designing a high-performance boundary element library with OpenCL and Numba

T. Betcke, M. W. Scroggs

View

Download (PDF)

Source codes

Tags: Computer science, HPC, nVidia, nVidia Quadro RTX 3000, OpenCL, Package, PyOpenCL, Python

July 18, 2021 by hgpu

Fancier High-Performance API

Fancier: A Unified Framework for Java, C, and OpenCL Integration

A Compiler Framework for Optimizing Dynamic Parallelism on GPUs

GPOEO: a micro-intrusive GPU online energy optimization framework for iterative applications

Dynamic GPU Energy Optimization for Machine Learning Training Workloads

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs

From Loop Fusion to Kernel Fusion: A Domain-specific Approach to Locality Optimization

System-Level Optimization and Code Generation for Graphics Processors using a Domain-Specific Language

* * *

high performance computing on graphics processing units: hgpu.org

FSpGEMM: An OpenCL-based HPC Framework for Accelerating General Sparse Matrix-Matrix Multiplication on FPGAs

High performance computing on Android devices – a case study

GPU backed Data Mining on Android Devices

Concurrency Mapping to FPGAs with OpenCL: A Case Study with a Shallow Water Kernel

Performance Evaluation of Python ParallelProgramming Models: Charm4Py and mpi4py

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

High Performance GPU Code Generation for Matrix-Matrix Multiplication using MLIR: Some Early Results

A Survey of Big Data, High Performance Computing, and Machine Learning Benchmarks

Performance comparison of CFD-DEM solver MFiX-Exa, on GPUs and CPUs

Designing a high-performance boundary element library with OpenCL and Numba

Recent source codes

Fancier High-Performance API

A Compiler Framework for Optimizing Dynamic Parallelism on GPUs

GPOEO: a micro-intrusive GPU online energy optimization framework for iterative applications

From Loop Fusion to Kernel Fusion: A Domain-specific Approach to Locality Optimization

Faster-Mean-Shift-Euc

Turbo: A constraint solver purely on GPUs (CUDA)

ProGraML: Program Graphs for Machine Learning

Datoviz: GPU interactive scientific data visualization with Vulkan

NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

Most viewed papers (last 30 days)