high performance computing on graphics processing units: hgpu.org

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Fast computing of scattering maps of nanostructures using graphical processing units

Vincent Favre-Nicolin, Johann Coraux, Marie-Ingrid Richard, Hubert Renevier

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Tags: Condensed matter, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 295, Package, Physics, Python

February 11, 2011 by hgpu

Accelerating the solution of families of shifted linear systems with CUDA

Richard Galvez, Greg van Anders

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, Package, Physics, Tesla S1070, Tesla T10

February 11, 2011 by hgpu

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

Ruijiang Li, John H. Lewis, Xun Jia, Xuejun Gu, Michael Folkerts, Chunhua Men, William Y. Song, Steve B. Jiang

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

February 9, 2011 by hgpu

High-precision molecular dynamics simulation of UO2-PuO2: superionic transition in uranium dioxide

S.I. Potashnikov, A.S. Boyarchenkov, K.A. Nekrasov, A.Ya. Kupryazhkin

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Tags: Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics

February 9, 2011 by hgpu

High-precision molecular dynamics simulation of UO2-PuO2: pair potentials comparison

S.I. Potashnikov, A.S. Boyarchenkov, K.A. Nekrasov, A.Ya. Kupryazhkin

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Tags: Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics

February 9, 2011 by hgpu

VolQD: Direct Volume Rendering of Multi-million Atom Quantum Dot Simulations

Wei Qiao, David S. Ebert, Alireza Entezari, Marek Korkusinski, Gerhard Klimeck

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Tags: Molecular simulation, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Physics, Rendering, Visualization

February 8, 2011 by hgpu

Fitting multi-planet transit models to photometric time-data series by evolution strategies

Andreas M. Chwatal, Gunther R. Raidl, Michael Zoch

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Tags: Algorithms, Astrophysics, CUDA, Earth and Planetary Astrophysics, Evolutionary Computations, nVidia, nVidia GeForce 9600 GT, Physics

February 7, 2011 by hgpu

QUDA programming for staggered quarks

Steven Gottlieb, Guochun Shi, Aaron Torok, Volodymyr Kindratenko

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla S1070

February 4, 2011 by hgpu

MILC on GPUs

Gushing Shi, Steven Gottlieb, Volodymyr Kindratenko

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Tags: Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD

February 3, 2011 by hgpu

The Saga of Landau-Gauge Propagators: Gathering New Ammo

Attilio Cucchieri, Tereza Mendes

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Tags: GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, Tesla S1070

January 27, 2011 by hgpu

Realisation of a holographic microlaser scalpel using a digital micromirror device

Susanne Zwick, Michael Warber, Tobias Haist, Wolfgang Osten

Tags: Computer holography, FFT, nVidia, nVidia GeForce 8800 GTX, Optics, Physics

January 26, 2011 by hgpu

Correlating Radio Astronomy Signals with Many-Core Hardware

Rob van Nieuwpoort, John Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI Radeon HD 4870, ATI Stream, Brook, Cell processor, CUDA, nVidia, OpenCL, Performance, Physics, Signal processing, Tesla C1060

January 26, 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

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high performance computing on graphics processing units: hgpu.org

Fast computing of scattering maps of nanostructures using graphical processing units

Accelerating the solution of families of shifted linear systems with CUDA

3D tumor localization through real-time volumetric x-ray imaging for lung cancer radiotherapy

High-precision molecular dynamics simulation of UO2-PuO2: superionic transition in uranium dioxide

High-precision molecular dynamics simulation of UO2-PuO2: pair potentials comparison

VolQD: Direct Volume Rendering of Multi-million Atom Quantum Dot Simulations

Fitting multi-planet transit models to photometric time-data series by evolution strategies

QUDA programming for staggered quarks

MILC on GPUs

The Saga of Landau-Gauge Propagators: Gathering New Ammo

Realisation of a holographic microlaser scalpel using a digital micromirror device

Correlating Radio Astronomy Signals with Many-Core Hardware

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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