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Finite Volume Errors in B_K

Jangho Kim, Hyung-Jin Kim, Weonjong Lee, Chulwoo Jung, Stephen R. Sharpe

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Tags: CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

Yong-Chull Jang, Hyung-Jin Kim, Weonjong Lee

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Tags: Algorithms, Cg, Computational Physics, Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Mixed precision, nVidia, nVidia GeForce GTX 480, Physics

November 2, 2011 by hgpu

Extremely large scale simulation of a Kardar-Parisi-Zhang model using graphics cards

Jefrrey Kelling, Geza Odor

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Finite size scaling, nVidia, Physics

November 1, 2011 by hgpu

Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures

V. Venugopal, K. Richards, S. Barden, T. Rimmele, S. Gregory, L. Johnson

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Tags: Algorithms, Benchmarking, CUDA, DSP, FPGA, nVidia, Optics, Physics, Tesla C1060, Tesla C2050

October 30, 2011 by hgpu

GPU based particle system

Martin Wexo Olsson

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Tags: ATI, ATI Radeon HD 4870 X2, ATI Radeon HD 5770, Game physics, OpenCL, Particle simulation, Performance, Physics

October 29, 2011 by hgpu

Accelerated MD Program Using CUDA Technology

Hoang Van Hue, Nguyen Thi Thanh Ha, Pham Khac Hung

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Tags: CUDA, Materials Science, Molecular dynamics, nVidia, nVidia GeForce GTS 250, Physics

October 26, 2011 by hgpu

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

Aiping Ding, Tianyu Liu, Chao Liang, Wei Ji, Mark S. Shephard, X George Xu, Forrest B. Brown

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Tags: CUDA, Monte Carlo simulation, nVidia, Physics, Tesla C2050

October 26, 2011 by hgpu

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

Dan Negrut, David Lamb, David Gorsich

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Tags: Algorithms, Collision detection, CUDA, Distributed computing, Heterogeneous systems, nVidia, Physics, Tesla C1060

October 20, 2011 by hgpu

Magneto-hydrodynamics simulation in astrophysics

Bijia Pang

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Tags: Algorithms, Astrophysics, CUDA, Fortran, Heterogeneous systems, Magnetohydrodynamics, nVidia, OpenCL, Physics, Tesla C1060, Tesla C2050, Thesis

October 17, 2011 by hgpu

Hard-Sphere Collision Simulations with Multiple GPUs, PCIe Extension Buses and GPU-GPU Communications

K.A. Hawick, D.P.Playne

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Tags: Algorithms, CUDA, GPU cluster, Gravitation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla C2070

October 16, 2011 by hgpu

Bit-Packed Damaged Lattice Potts Model Simulations with CUDA and GPUs

Ken A. Hawick, Mitchell G.B. Johnson

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Tags: CUDA, Data parallelism, Ising model, Materials Science, Nearest neighbour, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Phase transition, Physics, Probability, Tesla C2050, Tesla C2070

October 16, 2011 by hgpu

Optimizing a High Energy Physics (HEP) Toolkit on Heterogeneous Architectures

Yngve Sneen Lindal

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Tags: ATI, ATI Radeon HD 5870, Heterogeneous systems, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 470, OpenCL, Optimization, Physics, Review, Tesla C2050, Thesis

October 12, 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

Finite Volume Errors in B_K

Multi GPU Performance of Conjugate Gradient Solver with Staggered Fermions in Mixed Precision

Extremely large scale simulation of a Kardar-Parisi-Zhang model using graphics cards

Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures

GPU based particle system

Accelerated MD Program Using CUDA Technology

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

A high performance computing framework for physics-based modeling and simulation of military ground vehicles

Magneto-hydrodynamics simulation in astrophysics

Hard-Sphere Collision Simulations with Multiple GPUs, PCIe Extension Buses and GPU-GPU Communications

Bit-Packed Damaged Lattice Potts Model Simulations with CUDA and GPUs

Optimizing a High Energy Physics (HEP) Toolkit on Heterogeneous Architectures

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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