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B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Pierre Wahl, Dany-Sebastien Ly-Gagnon, Christof Debaes, David A.B. Miller, Hugo Thienpont

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Tags: Algorithms, FDTD, Finite-difference time-domain, Mesoscale and Nanoscale Physics, nVidia, Optics, Package, Physics, Tesla C1060

November 14, 2011 by hgpu

Efficient GPU Implementation for Particle in Cell Algorithm

Rejith George Joseph, Girish Ravunnikutty, Sanjay Ranka, Eduardo D'Azevedo, Scott Klasky

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, Package, Particle-in-cell methods, Physics, Plasma physics, Tesla T10

November 13, 2011 by hgpu

The Infrared behavior of SU(3) Nf=12 gauge theory -about the existence of conformal fixed point-

Kenji Ogawa, Tatsumi Aoyama, Hiroaki Ikeda, Etsuko Itou, Masafumi Kurachi, C.-J. David Lin, Hideo Matsufuru, Hiroshi Ohki, Tetsuya Onogi, Eigo Shintani, Takeshi Yamazaki

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla C1060

November 8, 2011 by hgpu

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

E.A. Malkov, M.S. Ivanov

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Tags: Algorithms, Boltzmann equation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Physics

November 6, 2011 by hgpu

Advanced MRI reconstruction toolbox with accelerating on GPU

Xiao-Long Wu, Yue Zhuo, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-Mei Hwu, Zhi-Pei Liang, Bradley P. Sutton, Jiading Gai

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Tags: Algorithms, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, nVidia GeForce GTX 280, Optimization, Physics

November 6, 2011 by hgpu

Acceleration of Deterministic Boltzmann Solver with Graphics Processing Units

V.V.Aristov, A.A.Frolova, S.A.Zabelok, V.I.Kolobov, R.R.Arslanbekov

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Tags: Boltzmann equation, CUDA, nVidia, nVidia GeForce GTX 295, Physics

November 5, 2011 by hgpu

Parallelization of maximum likelihood fits with OpenMP and CUDA

Sverre Jarp, Alfio Lazzaro, Julien Leduc, Andrzej Nowak, Felice Pantaleo

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Tags: Algorithms, Benchmarking, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 470, OpenMP, Physics

November 4, 2011 by hgpu

Combined acoustic and optical trapping

G. Thalhammer, R. Steiger, M. Meinschad, M. Hill, S. Bernet, M. Ritsch-Marte

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Tags: ATI, ATI Radeon HD 5850, Mesoscale and Nanoscale Physics, Optical trapping, Physics

November 4, 2011 by hgpu

Gyrofluid Modeling of Turbulent, Kinetic Physics

Kate Marie Despain

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Tags: CUDA, Fortran, MPI, nVidia, nVidia GeForce 9800 GTX, Package, Physics, Plasma physics

November 4, 2011 by hgpu

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Maxwell Hutchinson, Michael Widom

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Tags: Computational chemistry, Computational Physics, Condensed matter, CUDA, nVidia, Physics, Tesla C2050, Tesla C2075

November 4, 2011 by hgpu

Colour flux-tubes in static Pentaquark and Tetraquark systems

Pedro Bicudo, Nuno Cardoso, Marco Cardoso

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Tags: High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Package, Physics, QCD, Tesla C2070

November 3, 2011 by hgpu

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Lancelot Perrotte, Bruno Bodin, Laurent Chodorge

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Tags: Algorithms, CUDA, Floating point error, Nuclear physics, nVidia, nVidia GeForce GTX 295, Physics, Raytracing

November 2, 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

B-CALM: An open-source GPU-based 3D-FDTD with multi-pole dispersion for plasmonics

Efficient GPU Implementation for Particle in Cell Algorithm

The Infrared behavior of SU(3) Nf=12 gauge theory -about the existence of conformal fixed point-

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

Advanced MRI reconstruction toolbox with accelerating on GPU

Acceleration of Deterministic Boltzmann Solver with Graphics Processing Units

Parallelization of maximum likelihood fits with OpenMP and CUDA

Combined acoustic and optical trapping

Gyrofluid Modeling of Turbulent, Kinetic Physics

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Colour flux-tubes in static Pentaquark and Tetraquark systems

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

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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