high performance computing on graphics processing units: hgpu.org

hgpu.org » Benchmarking

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Cedric Augonnet, Jerome Clet-Ortega, Samuel Thibault, Raymond Namyst

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5800, Package, Prefetch, Task scheduling, Tesla S1070

July 26, 2011 by hgpu

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Daniel Weimer, Sebastian Kohler, Christian Hellert, Konrad Doll, Ulrich Brunsmann, Roland Krzikalla

Tags: Benchmarking, Computer science, Computer vision, CUDA, nVidia

July 24, 2011 by hgpu

Applying graphics processor acceleration in a software defined radio prototyping environment

William Plishker, George F. Zaki, Shuvra S. Bhattacharyya, Charles Clancy, John Kuykendall

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Tags: Benchmarking, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

July 24, 2011 by hgpu

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Shuai Che, Jeremy W. Sheaffer, Michael Boyer, Lukasz G. Szafaryn, Liang Wang, Kevin Skadron

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Tags: Benchmarking, CMP, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480

July 22, 2011 by hgpu

Linpack evaluation on a supercomputer with heterogeneous accelerators

Toshio Endo, Akira Nukada, Satoshi Matsuoka, Naoya Maruyama

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Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla S1070

July 17, 2011 by hgpu

A comparative benchmarking of the FFT on Fermi and Evergreen GPUs

M.F. Ahmed, O. Haridy

Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, FFT, Hardware Architecture, nVidia, nVidia GeForce GTX 480, Performance

June 30, 2011 by hgpu

Hybrid Embarrassingly Parallel on heterogeneous platform

Chunye Gong, Jie Liu, Jin Qin, Qingfeng Hu, Zhenghu Gong

Tags: Benchmarking, Computer science, Heterogeneous systems, Pseudo-random number generators

June 8, 2011 by hgpu

Efficient Embarrassingly Parallel on Graphics Processor Unit

Chunye Gong, Jie Liu, Jin Qin, Qingfeng Hu, Zhenghu Gong

Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, Pseudo-random number generators, Tesla T10

June 5, 2011 by hgpu

Swarm’s flight: Accelerating the particles using C-CUDA

Lucas de P. Veronese, Renato A. Krohling

Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, Optimization

June 2, 2011 by hgpu

A Micro-benchmark Suite for AMD GPUs

Ryan Taylor, Xiaoming Li

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Tags: ATI, ATI IL, ATI Stream, Benchmarking, Computer science, Presentation, Review, RV770, RV870

May 30, 2011 by hgpu

Evaluating the potential of graphics processors for high performance embedded computing

Shuai Mu, Chenxi Wang, Ming Liu, Dongdong Li, Maohua Zhu, Xiaoliang Chen, Xiang Xie, Yangdong Deng

Tags: ASIC, Benchmarking, Computer science, DSP, Embedded high-performance computing

May 30, 2011 by hgpu

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Data-Aware Task Scheduling on Multi-accelerator Based Platforms

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Applying graphics processor acceleration in a software defined radio prototyping environment

A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

Linpack evaluation on a supercomputer with heterogeneous accelerators

A comparative benchmarking of the FFT on Fermi and Evergreen GPUs

Hybrid Embarrassingly Parallel on heterogeneous platform

Efficient Embarrassingly Parallel on Graphics Processor Unit

Swarm’s flight: Accelerating the particles using C-CUDA

A Micro-benchmark Suite for AMD GPUs

Evaluating the potential of graphics processors for high performance embedded computing

Recent source codes

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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