high performance computing on graphics processing units: hgpu.org

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hgpu.org » Programming » CUDA

In-memory grid files on graphics processors

Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga Govindaraju, Qiong Luo, Pedro Sander, Jiaoying Shi

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce 8800 GTX

December 4, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

Tags: Computer science, CUDA, High-level Languages, nVidia, Review

December 4, 2010 by hgpu

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

Henrik Schulz, Geza Odor, Gergely Odor, Máté Ferenc Nagy

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Tags: ATI, ATI Radeon HD 5970, Computational Physics, CUDA, Disordered Systems and Neural Networks, nVidia, nVidia Quadro FX 5800, OpenCL, Physics, Statistical Mechanics, Tesla C1060

December 3, 2010 by hgpu

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Panagiotis D. Vouzis, Nikolaos V. Sahinidis

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, Package, Sequence alignment, Tesla C2050

November 30, 2010 by hgpu

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Fast multipole methods on a cluster of GPUs for the meshless simulation of turbulence

R. Yokota, T. Narumi, R. Sakamaki, S. Kameoka, S. Obi, K. Yasuoka

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Tags: CUDA, Fast multipole method, Fluid dynamics, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce 8800 GT, Physics

November 28, 2010 by hgpu

Understanding software approaches for GPGPU reliability

Martin Dimitrov, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Stream, Brook, Computer science, CUDA, Hardware, nVidia, nVidia GeForce 8800 GTX, Performance

November 28, 2010 by hgpu

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

Scattering Points in Parallel Coordinates

Xiaoru Yuan, Peihong Guo, He Xiao, Hong Zhou, Huamin Qu

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Tags: Computer science, CUDA, Multidimensional scaling, nVidia, Tesla C870, Visualization

November 28, 2010 by hgpu

Exploring Reconfigurable Architectures for Tree-Based Option Pricing Models

Qiwei Jin, David B. Thomas, Wayne Luk, Benjamin Cope

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Tags: CUDA, Finance, FPGA, nVidia, nVidia GeForce 7900 GTX

November 28, 2010 by hgpu

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Tsuyoshi Hamada, Tetsu Narumi, Rio Yokota, Kenji Yasuoka, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, CUDA, Fast multipole method, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Performance

November 28, 2010 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

In-memory grid files on graphics processors

GPUQP: query co-processing using graphics processors

GPU Computing: Programming a Massively Parallel Processor

Simulation of 1+1 dimensional surface growth and lattices gases using GPUs

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Fast multipole methods on a cluster of GPUs for the meshless simulation of turbulence

Understanding software approaches for GPGPU reliability

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Scattering Points in Parallel Coordinates

Exploring Reconfigurable Architectures for Tree-Based Option Pricing Models

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

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

Most viewed papers (last 30 days)