high performance computing on graphics processing units: hgpu.org

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Efficent multiple pass, multiple output algorithms on the GPU

Jay L. T. Cornwall

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Performance, Programming techniques

May 29, 2011 by hgpu

PConG: A novel platform available for pervasive computing based on GPU

Gang Chen, Guobo Li, Baifeng Wu, Songwen Pei

Tags: Computer science, Programming techniques

May 28, 2011 by hgpu

Speculative Execution on GPU: An Exploratory Study

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

Tags: Computer science, Performance, Programming techniques

May 25, 2011 by hgpu

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Guibin Wang

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Programming techniques

May 22, 2011 by hgpu

Compile-time GPU memory access optimizations

Gert-Jan van den Braak, Bart Mesman, Henk Corporaal

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Optimization, Programming techniques

May 17, 2011 by hgpu

Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

May 17, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

An efficient GPU implementation of the revised simplex method

J. Bieling, P. Peschlow, P. Martini

Tags: Computer science, Programming techniques

April 20, 2011 by hgpu

Efficiently Using a CUDA-enabled GPU as Shared Resource

Hagen Peters, Martin Koper, Norbert Luttenberge

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Programming techniques

April 17, 2011 by hgpu

Automated development of applications for graphical processing units using rewriting rules

Anatoliy Yu. Doroshenko, Konstantin Zhereb

Tags: Code generation, Computer science, High-level Languages, Programming techniques

April 12, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficent multiple pass, multiple output algorithms on the GPU

PConG: A novel platform available for pervasive computing based on GPU

Speculative Execution on GPU: An Exploratory Study

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Compile-time GPU memory access optimizations

Profiling General Purpose GPU Applications

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

An efficient GPU implementation of the revised simplex method

Efficiently Using a CUDA-enabled GPU as Shared Resource

Automated development of applications for graphical processing units using rewriting rules

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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