high performance computing on graphics processing units: hgpu.org

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Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Qingang Xiong, Guofeng Zhou, Bo Li, Ji Xua, Xiaojian Fang, Junwu Wang, Xianfeng He, Xiaowei Wang, Limin Wang, Wei Ge, Jinghai Li

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Tesla C2050

November 12, 2010 by hgpu

Improved automated lattice perturbation theory in background field gauge

T.C. Hammant, R.R. Horgan, C.J. Monahan, A.G. Hart, E.H. Muller, A. Gray, K. Sivalingham, G.M. von Hippel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C2050

November 12, 2010 by hgpu

Simulation of reaction-diffusion processes in three dimensions using CUDA

Ferenc Molnar Jr., Ferenc Izsak, Robert Meszaros, Istvan Lagzi

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Tags: Computational Physics, CUDA, Diffusion equation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 275, Pattern formation, Physics

November 11, 2010 by hgpu

CUDA simulations of active dumbbell suspensions

Victor Putz, Jorn Dunkel, Julia M. Yeomans

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Soft Condensed Matter, Tesla C1060

November 11, 2010 by hgpu

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Chunhua Men, H. Edwin Romeijn, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 11, 2010 by hgpu

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Kyle A. Wendt, Joaquin E. Drut, Timo A. Lahde

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla C1060

November 11, 2010 by hgpu

A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations

Pablo P Yepes, Dragan Mirkovic, Phillip J Taddei

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Tags: CUDA, Medical Physics, Medicine, Monte Carlo simulation, Nuclear Experiment, nVidia, nVidia GeForce GTX 295, Physics, Proton radiotherapy

November 10, 2010 by hgpu

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

Xun Jia, Bin Dong, Yifei Lou, Steve B. Jiang

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Tags: Computed tomography, CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

Zhen Tian, Xun Jia, Steve B. Jiang

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Tags: Computed tomography, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 10, 2010 by hgpu

Compressive Phase Contrast Tomography

F. R. N. C. Maia, A. MacDowell, S. Marchesini, H. A. Padmore, D. Y. Parkinson, J. Pien, A. Schirotzek, C. Yang

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Tags: CUDA, FFT, nVidia, Optics, Physics, Radon transform, Tesla C1060, Tomography

November 10, 2010 by hgpu

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

Zhen Tian, Xun Jia, Kehong Yuan, Tinsu Pan, Steve B. Jiang

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Tags: Computed tomography, CT, CUBLAS, CUDA, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 9, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

November 9, 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

Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Improved automated lattice perturbation theory in background field gauge

Simulation of reaction-diffusion processes in three dimensions using CUDA

CUDA simulations of active dumbbell suspensions

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations

GPU-based Iterative Cone Beam CT Reconstruction Using Tight Frame Regularization

GPU-based Low-dose 4DCT Reconstruction via Temporal Non-local Means

Compressive Phase Contrast Tomography

GPU-based Low Dose CT Reconstruction via Edge-preserving Total Variation Regularization

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

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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