high performance computing on graphics processing units: hgpu.org

Programming

A GPU Memory System Comparison for an Elliptic Test Problem

Yu Wang, Marc Olano, Matthias K. Gobbert, Wesley Griffin

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, Memory model, nVidia, Poisson equation, Tesla C2070

April 13, 2012 by hgpu

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Unmesh Bordoloi, Ahmed Rezine

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050

April 13, 2012 by hgpu

Writing a modular GPGPU program in Java

Masayuki Ioki, Shumpei Hozumi, Shigeru Chiba

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Tags: Computer science, CUDA, Fortran, Java, nVidia, Tesla M2050

April 13, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

Design of high-performance parallelized gene predictors in MATLAB

Sylvain Robert Rivard, Jean-Gabriel Mailloux, Rachid Beguenane, Hung Tien Bui,

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FFT, Genetics, nVidia, nVidia GeForce GTX 560

April 13, 2012 by hgpu

Spatial Indexing of Large-Scale Geo-Referenced Point Data on GPGPUs Using Parallel Primitives

Jianting Zhang, Le Gruenwald

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia Quadro FX 6000

April 12, 2012 by hgpu

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala

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Tags: Computer science, CUDA, nVidia, Programming Languages, Software Engineering

April 12, 2012 by hgpu

Programming issues for video analysis on Graphics Processing Units

Juan Gomez Luna

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Signal processing, Thesis

April 12, 2012 by hgpu

Bonsai: A GPU Tree-Code

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, MPI, N-body simulation, nVidia, nVidia GeForce GTX 480, Package

April 12, 2012 by hgpu

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

Nathan Bell, Steven Dalton, Luke N. Olson

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Tags: Algorithms, CUDA, Mathematics, nVidia, Package, Sparse matrix, Tesla C2050

April 11, 2012 by hgpu

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Shinpei Kato, Karthik Lakshmanan, Aman Kumar, Mihir Kelkar, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques

April 11, 2012 by hgpu

Real-time Visualization of Streaming Text with Force-Based Dynamic System

Jamal Alsakran, Yang Chen, Dongning Luo, Ye Zhao, Jing Yang, Wenwen Dou, Shixia Liu

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Tags: Computer science, CUDA, nVidia, nVidia Quadro NVS 295, Visualization

April 11, 2012 by hgpu

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A GPU Memory System Comparison for an Elliptic Test Problem

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Writing a modular GPGPU program in Java

Parallel programming with CUDA

Design of high-performance parallelized gene predictors in MATLAB

Spatial Indexing of Large-Scale Geo-Referenced Point Data on GPGPUs Using Parallel Primitives

Verifying GPU Kernels by Test Amplification

Programming issues for video analysis on Graphics Processing Units

Bonsai: A GPU Tree-Code

Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

RGEM: A Responsive GPGPU Execution Model for Runtime Engines

Real-time Visualization of Streaming Text with Force-Based Dynamic System

Recent source codes

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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