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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

Fast Analysis of Molecular Dynamics Trajectories with Graphics Processing Units – Radial Distribution Function Histogramming

Benjamin G. Levine, John E. Stone, Axel Kohlmeyer

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Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Tesla C1060, Tesla C2050, Tesla S1070

February 9, 2011 by hgpu

Next-generation acceleration and code optimization for light transport in turbid media using GPUs

Erik Alerstam, William C. Yip Lo, Tianyi D. Han, Jonathan Rose, Stefan Andersson-Engels, Lothar Lilge

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Tags: Biology, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Optics, Package

February 9, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 280

February 9, 2011 by hgpu

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia

February 9, 2011 by hgpu

Real-time GPU color-based segmentation of football players

Miguel Angel Montanes Laborda, Enrique F. Torres Moreno, Jesus Martinez del Rincon and Jose Elias Herrero Jaraba

Tags: CUDA, Image processing, Image recognition, nVidia

February 9, 2011 by hgpu

Scalable SMT-based verification of GPU kernel functions

Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Package, Software Engineering

February 9, 2011 by hgpu

Automatic C-to-CUDA Code Generation for Affine Programs

Muthu Baskaran, J. Ramanujam, P. Sadayappan

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX

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

Learning to Detect Roads in High-Resolution Aerial Images

Volodymyr Mnih and Geoffrey E. Hinton

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia

February 7, 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

Programming

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

Fast Analysis of Molecular Dynamics Trajectories with Graphics Processing Units – Radial Distribution Function Histogramming

Next-generation acceleration and code optimization for light transport in turbid media using GPUs

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Real-time GPU color-based segmentation of football players

Scalable SMT-based verification of GPU kernel functions

Automatic C-to-CUDA Code Generation for Affine Programs

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

Learning to Detect Roads in High-Resolution Aerial Images

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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