high performance computing on graphics processing units: hgpu.org

hgpu.org » Programming techniques

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

Richard S. Wright, Nicholas Haemel, Graham Sellers, Benjamin Lipchak

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

OpenGL(R) SuperBible: Comprehensive Tutorial and Reference (4th Edition)

Richard S. Wright, Benjamin Lipchak, Nicholas Haemel

Tags: Book, Computer science, OpenGL, Programming techniques, Tutorial

February 2, 2011 by hgpu

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Jamin Naghmouchi, Daniele P. Scarpazza, Mladen Berekovic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Pattern Search, Programming techniques

January 31, 2011 by hgpu

Parallel multiclass classification using SVMs on GPUs

Sergio H. Lopez, John R. Williams, Abel Sanchez

Tags: Computer science, Programming techniques

January 25, 2011 by hgpu

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Tony E. Lewis, George D. Magoulas

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8800 GT, Programming techniques

January 22, 2011 by hgpu

Distributed genetic programming on GPUs using CUDA

Simon Harding, Wolfgang Banzhaf

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8200, Programming techniques, Tutorial

January 22, 2011 by hgpu

Accelerating evolutionary computation with graphics processing units

Wolfgang Banzhaf, Simon Harding

Tags: Algorithms, Computer science, Genetic programming, Programming techniques, Tutorial

January 22, 2011 by hgpu

Implicit Parallel Time Integrators

Andrew Christlieb, Benjamin Ong

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Tags: Algorithms, Computer science, Programming techniques

January 19, 2011 by hgpu

A Multi-Stage CUDA Kernel for Floyd-Warshall

Ben Lund, Justin W Smith

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Programming techniques, Tesla C1060

January 18, 2011 by hgpu

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

P. S. Rakic, D. D. Milasinovic, Živanov, Z. Suvajdzin, M. Nikolic, M. Hajdukovic

Tags: Computational Engineering, Computer science, CUDA, MPI, nVidia, Programming techniques

January 16, 2011 by hgpu

Introduction to GPGPU, a hardware and software background

Guillaume Colin de Verdiere

Tags: Computer science, Programming techniques, Review

January 16, 2011 by hgpu

Taming irregular EDA applications on GPUs

Yangdong S. Deng, Bo D. Wang, Shuai Mu

Tags: CAD, Computer science, Programming techniques, Sparse matrix

January 13, 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

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high performance computing on graphics processing units: hgpu.org

OpenGL SuperBible: Comprehensive Tutorial and Reference (5th Edition)

OpenGL(R) SuperBible: Comprehensive Tutorial and Reference (4th Edition)

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Parallel multiclass classification using SVMs on GPUs

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Distributed genetic programming on GPUs using CUDA

Accelerating evolutionary computation with graphics processing units

Implicit Parallel Time Integrators

A Multi-Stage CUDA Kernel for Floyd-Warshall

MPI-CUDA parallelization of a finite-strip program for geometric nonlinear analysis: A hybrid approach

Introduction to GPGPU, a hardware and software background

Taming irregular EDA applications on GPUs

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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