high performance computing on graphics processing units: hgpu.org

Programming

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

Andrew Janowczyk, Sharat Chandran, Srinivas Aluru

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Particle filtering, Pseudo-random number generators

June 7, 2011 by hgpu

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

Satish Chikkagoudar, Kai Wang, Mingyao Li

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Tags: Biology, CUDA, Genetics, nVidia, nVidia Quadro FX 1800, Package, Tesla C1060

June 7, 2011 by hgpu

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Weihang Zhu, Ashraf Yaseen, Yaohang Li

Tags: Computer science, CUDA, Differential evolution, Monte Carlo simulation, nVidia, Optimization

June 7, 2011 by hgpu

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

M. Schonherr, K. Kucher, M. Geier, M. Stiebler, S. Freudiger, M. Krafczyk

Tags: CUDA, Lattice Boltzmann model, Mathematics, nVidia

June 7, 2011 by hgpu

Massively Parallel Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao, Mea Wang

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, nVidia GeForce GTX 260

June 6, 2011 by hgpu

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Evdokimos I. Konstantinidis, Christos A. Frantzidis, Lazaros Tzimkas, Costas Pappas, Panagiotis D. Bamidis

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 9600 GT, nVidia GeForce GTS 250, Signal processing

June 6, 2011 by hgpu

Exploiting Computing Power on Graphics Processing Unit

Ziyi Liu, Wenjing Ma

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Performance

June 5, 2011 by hgpu

Large neighborhood local search optimization on graphics processing units

The Van Luong, Nouredine Melab, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 280, Search

June 5, 2011 by hgpu

Interective Point Clouds Fairing on Many-Core System

Tang Jie, Wu Gangshan, Xu Bo, Gong Zhongliang

Tags: Computer science, CUDA, Nearest neighbour, nVidia

June 5, 2011 by hgpu

Implementation of association rule mining using CUDA

S.H. Adil, S. Qamar

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 200

June 5, 2011 by hgpu

Efficient Embarrassingly Parallel on Graphics Processor Unit

Chunye Gong, Jie Liu, Jin Qin, Qingfeng Hu, Zhenghu Gong

Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, Pseudo-random number generators, Tesla T10

June 5, 2011 by hgpu

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Graham Markall

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package, Thesis

June 5, 2011 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application

GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores

DEMCMC-GPU: An Efficient Multi-Objective Optimization Method with GPU Acceleration on the Fermi Architecture

Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

Massively Parallel Network Coding on GPUs

Accelerating biomedical signal processing algorithms with parallel programming on graphic processor units

Exploiting Computing Power on Graphics Processing Unit

Large neighborhood local search optimization on graphics processing units

Interective Point Clouds Fairing on Many-Core System

Implementation of association rule mining using CUDA

Efficient Embarrassingly Parallel on Graphics Processor Unit

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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