high performance computing on graphics processing units: hgpu.org

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High-Performance Neural Networks for Visual Object Classification

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

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

February 2, 2011 by hgpu

SPH on GPU with CUDA

Alexis Herault, Giuseppe Bilotta, Robert A. Dalrymple

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Tags: CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 280, Package, Particle simulation, Tesla C1060

February 1, 2011 by hgpu

Constraint Fluids on GPU

Martin Nilsson

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Tags: Algorithms, Collision detection, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Thesis

February 1, 2011 by hgpu

Computational Fluid Dynamic on GPU

Ting Xingdong, Sen Li

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, OpenCL, Poster

February 1, 2011 by hgpu

Introduction to GPU programming for EDA

John F. Croix, Sunil P. Khatri

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Tags: Computational Engineering, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Presentation, Review

February 1, 2011 by hgpu

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Andrey Asadchev, Veerendra Allada, Jacob Felder, Brett M. Bode, Mark S. Gordon and Theresa L. Windus

Tags: Chemistry, CUBLAS, CUDA, Molecular modeling, Molecular simulation, nVidia, nVidia GeForce GTX 275, Tesla T10

February 1, 2011 by hgpu

Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)

Cong Wang, Yi-Jen Chiang

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce 9800 GTX

January 31, 2011 by hgpu

Scientific Computing on Heterogeneous Architectures

A. R. Brodtkorb

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Review, Thesis

January 31, 2011 by hgpu

Simulation and visualization of the Saint-Venant system using GPUs

Andre Brodtkorb, Trond Hagen, Knut-Andreas Lie, Jostein Natvig

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Rendering, Visualization

January 31, 2011 by hgpu

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Jamin Naghmouchi, Daniele P. Scarpazza, Mladen Berekovic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Pattern Search, Programming techniques

January 31, 2011 by hgpu

Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces

Simon Pabst, Artur Koch, Wolfgang Strasser

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Physics-based simulation

January 30, 2011 by hgpu

Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs

Daniel P. Playne, Kenneth A. Hawick

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Tags: Computer science, CUDA, Finite difference, GPU cluster, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 295

January 30, 2011 by hgpu

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

PhysProver: Advancing Automatic Theorem Proving for Physics

See all packages

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high performance computing on graphics processing units: hgpu.org

High-Performance Neural Networks for Visual Object Classification

SPH on GPU with CUDA

Constraint Fluids on GPU

Computational Fluid Dynamic on GPU

Introduction to GPU programming for EDA

Uncontracted Rys Quadrature Implementation of up to G Functions on Graphical Processing Units

Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)

Scientific Computing on Heterogeneous Architectures

Simulation and visualization of the Saint-Venant system using GPUs

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Fast and Scalable CPU/GPU Collision Detection for Rigid and Deformable Surfaces

Asynchronous Communication Schemes for Finite Difference Methods on Multiple GPUs

Recent source codes

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

PhysProver: Advancing Automatic Theorem Proving for Physics

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