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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

High-performance astrophysical visualization using Splotch

Zhefan Jin, Mel Krokos, Marzia Rivi, Claudio Gheller, Klaus Dolag, Martin Reinecke

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia Quadro FX 5600, Visualization

November 11, 2010 by hgpu

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

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

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Dominique Aubert, Romain Teyssier

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

November 11, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

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

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

Christian Feichtinger, Johannes Habich, Harald Koestler, Georg Hager, Ulrich Ruede, Gerhard Wellein

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Tags: Computer science, CUDA, Lattice Boltzmann model, MPI, nVidia, Tesla C1060, Tesla S1070

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

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Alexander Moore, Alice C. Quillen

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Tags: Astrophysics, Celestial mechanics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package

November 10, 2010 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Applications

Improved automated lattice perturbation theory in background field gauge

Simulation of reaction-diffusion processes in three dimensions using CUDA

High-performance astrophysical visualization using Splotch

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

CUDA simulations of active dumbbell suspensions

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

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

MYRIAD: A new N-body code for simulations of Star Clusters

A Flexible Patch-Based Lattice Boltzmann Parallelization Approach for Heterogeneous GPU-CPU Clusters

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

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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