high performance computing on graphics processing units: hgpu.org

hgpu.org » Book

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

Simon Marlow

View

Download (PDF)

Tags: Algorithms, Book, Computer science, Haskell

July 21, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

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.)

View

Download (PDF)

Tags: Book, Games, Review, Signal processing

December 10, 2012 by hgpu

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

Shane Cook

View

Download (PDF)

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

November 5, 2012 by hgpu

Using OpenCL: Programming Massively Parallel Computers

Janusz Kowalik, Tadeusz Puzniakowski

View

Download (PDF)

Tags: Book, Computer science, OpenCL, Tutorial

July 3, 2012 by hgpu

CUDA Fortran for Scientists and Engineers

Greg Ruetsch, Massimiliano Fatica

View

Download (PDF)

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

View

Download (PDF)

Source codes

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

January 16, 2012 by hgpu

GPU Pro 2

Wolfgang Engel (editor)

View

Download (PDF)

Source codes

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

View

Download (PDF)

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

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Parallel and Concurrent Programming in Haskell: Techniques for Multicore and Multithreaded Programming

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

Recent source codes

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

Most viewed papers (last 30 days)