high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

PacketShader: a GPU-accelerated software router

Sangjin Han, Keon Jang, KyoungSoo Park, Sue Moon

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Software router

November 6, 2010 by hgpu

GPU’s for event reconstruction in the FairRoot framework

M. {Al-Turany}, F. {Uhlig}, R. {Karabowicz}

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Tags: CUDA, Instrumentation and measurement, Nuclear physics, nVidia, Package, Particle physics and field theory, Physics, Tesla C1060

November 5, 2010 by hgpu

Clustering billions of data points using GPUs

Ren Wu, Bin Zhang, Meichun Hsu

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

November 5, 2010 by hgpu

On Dynamic Load Balancing on Graphics Processors

Daniel Cederman, Philippas Tsigas

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9600 GT, Optimization, Performance

November 5, 2010 by hgpu

MPI within a GPU

Bobby Dalton Young

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Tags: Computer science, CUDA, Data parallelism, MPI, nVidia, nVidia GeForce 8800 GTS, Thesis, Virtualization

November 5, 2010 by hgpu

Interactive machinability analysis of free-form surfaces using multiple-view image space techniques on the GPU

Mikola Lysenko, Roshan M. DSouza

Tags: Algorithms, CAD, Machinability

November 5, 2010 by hgpu

An experimental approach to performance measurement of heterogeneous parallel applications using CUDA

Allen D. Malony,Scott Biersdorff,Wyatt Spear,Shangkar Mayanglambam

Tags: Computer science, CUDA, nVidia, Performance

November 5, 2010 by hgpu

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

E. Z. Zhang, Y. Jiang, G. Ziyu, X. Shen

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060

November 5, 2010 by hgpu

GPU-Accelerated Nearest Neighbor Search for 3D Registration

Deyuan Qiu,Stefan May,Andreas Nuchter

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Tags: Computer science, Computer vision, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295

November 5, 2010 by hgpu

Debugging GPU stream programs through automatic dataflow recording and visualization

Qiming Hou,Kun Zhou,Baining Guo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques

November 5, 2010 by hgpu

GPU for Parallel On-Board Hyperspectral Image Processing

J. Setoain, M. Prieto, C. Tenllado, F. Tirado

Tags: Algorithms, Image processing

November 5, 2010 by hgpu

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Jingfei Kong, Martin Dimitrov, Yi Yang, Janaka Liyanage, Lin Cao, Jacob Staples, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL, RV870

November 5, 2010 by hgpu

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

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

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high performance computing on graphics processing units: hgpu.org

Programming

PacketShader: a GPU-accelerated software router

GPU’s for event reconstruction in the FairRoot framework

Clustering billions of data points using GPUs

On Dynamic Load Balancing on Graphics Processors

MPI within a GPU

Interactive machinability analysis of free-form surfaces using multiple-view image space techniques on the GPU

An experimental approach to performance measurement of heterogeneous parallel applications using CUDA

Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping

GPU-Accelerated Nearest Neighbor Search for 3D Registration

Debugging GPU stream programs through automatic dataflow recording and visualization

GPU for Parallel On-Board Hyperspectral Image Processing

Accelerating MATLAB Image Processing Toolbox functions on GPUs

Recent source codes

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

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

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