high performance computing on graphics processing units: hgpu.org

hgpu.org » Data parallelism

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Ashwin Prasad, Jayvant Anantpur, R. Govindarajan

View

Tags: Benchmarking, Clustering, Computer science, CUDA, Data parallelism, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, Optimization

September 20, 2011 by hgpu

A data parallel view on polyhedral process networks

Ana Balevic, Bart Kienhuis

Tags: Computer science, Data parallelism, Heterogeneous systems

September 11, 2011 by hgpu

Reliability modeling of MEMS devices on CUDA based HPC setup

Rohit Pathak, Satyadhar Joshi

View

Download (PDF)

Tags: Computer science, CUDA, Data parallelism, nVidia, Performance

August 31, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

View

Download (PDF)

Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

Jaewoo Ahn, Becksang Seong, Wonyong Sung

Tags: Algorithms, Data parallelism, Image processing, Optimization

August 26, 2011 by hgpu

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Linchuan Li, Xingjian Li, Guangming Tan, Mingyu Chen, Peiheng Zhang

Tags: Algorithms, Computer science, Cryo-EM, CUDA, Data parallelism, GPU cluster, Heterogeneous systems, MPI, nVidia, Performance, Tesla C2050

August 24, 2011 by hgpu

Accelerating Haskell array codes with multicore GPUs

Manuel M.T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover

View

Download (PDF)

Tags: Code generation, Computer science, CUBLAS, CUDA, Data parallelism, nVidia, Performance, Programming Languages, Tesla T10

August 22, 2011 by hgpu

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

Usman Dastgeer, Johan Enmyren, Christoph W. Kessler

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 19, 2011 by hgpu

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Johan Enmyren, Christoph W. Kessler

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Data parallelism, nVidia, OpenCL, OpenMP, Package, Performance, Programming techniques, Tesla C1060

August 18, 2011 by hgpu

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Jorn Hoffmann, Karim El-Laithy, Frank Guttler, Martin Bogdan

Tags: Computer science, Data parallelism, Neural networks, OpenCL

August 18, 2011 by hgpu

Data Parallelism Exploiting for H.264 Encoder

Mei Wen, Ju Ren, Nan Wu, Huayou Su, Changqing Xun, Chunyuan Zhang

View

Download (PDF)

Tags: Algorithms, Computer science, Data parallelism, DSP, H.264/AVC, Video encoding

August 12, 2011 by hgpu

Performance Comparison with OpenMP Parallelization for Multi-core Systems

Chao-Tung Yang, Tzu-Chieh Chang, Hsien-Yi Wang, William C.C. Chu, Chih-Hung Chang

Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, Fortran, nVidia, OpenCL, OpenMP, Performance

August 8, 2011 by hgpu

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

A data parallel view on polyhedral process networks

Reliability modeling of MEMS devices on CUDA based HPC setup

Collaborative execution environment for heterogeneous parallel systems

Accelerating tetrahedral interpolation with data-level and Thread-Level Parallel optimization

Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system

Accelerating Haskell array codes with multicore GPUs

Auto-tuning SkePU: a multi-backend skeleton programming framework for multi-GPU systems

SkePU: a multi-backend skeleton programming library for multi-GPU systems

Simulating Biological-Inspired Spiking Neural Networks with OpenCL

Data Parallelism Exploiting for H.264 Encoder

Performance Comparison with OpenMP Parallelization for Multi-core Systems

Recent source codes

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

SYCL Container

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Most viewed papers (last 30 days)