high performance computing on graphics processing units: hgpu.org

hgpu.org » Tutorial

Performing with CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Operating systems, Performance, Review, Software Engineering, Tutorial

September 15, 2011 by hgpu

Parallel programming with NVIDIA CUDA

Alejandro Segovia

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Package, Tutorial

September 11, 2011 by hgpu

Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Shinichi Yamagiwa

Tags: Computer science, Review, Tutorial

April 20, 2011 by hgpu

Introduction to GPU Programming with GLSL

R. Marroquim, A. Maximo

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Source codes

Tags: ATI, Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Rendering, Tutorial

March 25, 2011 by hgpu

GPUGI: Global Illumination Effects on the GPU

Laszlo Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6800 GT, OpenGL, Tutorial

March 15, 2011 by hgpu

Mobile 3D Graphics

Alessio Malizia

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Tags: 3D Graphics and Realism, Book, Computer science, Programming Languages, Tutorial

February 8, 2011 by hgpu

OpenGL(R) ES 2.0 Programming Guide

Aaftab Munshi, Dan Ginsburg, Dave Shreiner

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

February 2, 2011 by hgpu

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

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

GPU-Based Interactive Visualization Techniques (Mathematics and Visualization)

Daniel Weiskopf

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Tags: Algorithms, Book, Computer science, Rendering, Tutorial

December 2, 2010 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

Performing with CUDA

Parallel programming with NVIDIA CUDA

Tutorial 3: Methodologies and Performance Impacts of General Purpose Computing on GPUs

Introduction to GPU Programming with GLSL

GPUGI: Global Illumination Effects on the GPU

Mobile 3D Graphics

OpenGL(R) ES 2.0 Programming Guide

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

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

Distributed genetic programming on GPUs using CUDA

Accelerating evolutionary computation with graphics processing units

GPU-Based Interactive Visualization Techniques (Mathematics and Visualization)

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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