high performance computing on graphics processing units: hgpu.org

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The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Intel Xeon Phi Coprocessor High-Performance Programming

Jim Jeffers, James Jeffers, James Reinders

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Tags: Book, Computer science, Intel, Intel Phi, OpenMP, Package, Review

June 30, 2013 by hgpu

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

GPU Computing with Applications in Digital Logic

Jaako Astola, Michitaka Kameyama, Martin Lukac, Radomir S. Stankovic (eds.)

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Tags: Book, Games, Review, Signal processing

December 10, 2012 by hgpu

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Shane Cook

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Tags: Book, Computer science, CUDA, nVidia, Tutorial

November 5, 2012 by hgpu

Using OpenCL: Programming Massively Parallel Computers

Janusz Kowalik, Tadeusz Puzniakowski

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Tags: Book, Computer science, OpenCL, Tutorial

July 3, 2012 by hgpu

CUDA Fortran for Scientists and Engineers

Greg Ruetsch, Massimiliano Fatica

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Tags: Book, Computer science, CUDA, Fortran, High-level Languages, nVidia, Optimization, Tutorial

January 26, 2012 by hgpu

Programming on Parallel Machines: GPU, Multicore, Clusters and More

Norm Matloff

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Tags: Book, Computer science, CUDA, MPI, nVidia, Package, Programming techniques, Review, Tutorial

January 16, 2012 by hgpu

GPU Pro 2

Wolfgang Engel (editor)

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Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Package, Rendering, Tutorial

December 27, 2011 by hgpu

OpenCL Programming Guide

Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg

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

December 27, 2011 by hgpu

OpenCL in Action: How to Accelerate Graphics and Computations

Matthew Scarpino

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

December 26, 2011 by hgpu

Code Optimization Techniques for Graphics Processing Units

Fernando Magno Quintao Pereira

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Tags: Algorithms, Book, Code generation, Computer science, CUDA, nVidia, nVidia GeForce 9400 M, Optimization, Package, Programming techniques, PTX, Tutorial

December 17, 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

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Intel Xeon Phi Coprocessor High-Performance Programming

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

GPU Computing with Applications in Digital Logic

CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Using OpenCL: Programming Massively Parallel Computers

CUDA Fortran for Scientists and Engineers

Programming on Parallel Machines: GPU, Multicore, Clusters and More

GPU Pro 2

OpenCL Programming Guide

OpenCL in Action: How to Accelerate Graphics and Computations

Code Optimization Techniques for Graphics Processing Units

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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