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SIML: A Fast SIMD Algorithm for Calculating LINGO Chemical Similarities on GPUs and CPUs

Imran S. Haque, Vijay S. Pande, W. Patrick Walters

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Tags: Chemistry, CUDA, nVidia, nVidia GeForce GTS 250, OpenMP, Package, Tesla T10

November 9, 2010 by hgpu

An exploration of CUDA and CBEA for a gravitational wave source-modelling application

Gaurav Khanna, Justin McKennon

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Tags: Cell processor, CUDA, General Relativity and Quantum Cosmology, Gravitation, nVidia, Physics, Tesla C1060

November 9, 2010 by hgpu

Teraflop per second gravitational lensing ray-shooting using graphics processing units

Alexander C. Thompson, Christopher J. Fluke, David G. Barnes, Benjamin R. Barsdell

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Gravitational lensing, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8800 GT, Tesla S1070

November 9, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

Jeroen Bedorf

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Tags: Astrophysics, CUDA, Gravitation, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Package, Stellar dynamics

November 9, 2010 by hgpu

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units

Simon P. Zwart, Robert Belleman, Peter Geldof

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Tags: Astrophysics, Cg, Gravitation, N-body simulation, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 1400, OpenGL, Package, Stellar dynamics

November 9, 2010 by hgpu

Running the NIM Next-Generation Weather Model on GPUs

Mark W. Govett, Jacques Middlecoff, Tom Henderson

Tags: CUDA, Earth and Space Sciences, nVidia, Weather Prediction Model

November 9, 2010 by hgpu

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Garnett Wilson, Wolfgang Banzhaf

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Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Xbox 360

November 9, 2010 by hgpu

Fast and informative flow simulations in a building by using fast fluid dynamics model on graphics processing unit

Wangda Zuo, Qingyan Chen

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX

November 9, 2010 by hgpu

Gravitational tree-code on graphics processing units: implementation in CUDA

Evghenii Gaburov, Jeroen Bedorf, Simon P. Zwart

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8800 Ultra, Package, Physics

November 9, 2010 by hgpu

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

A. Zhmurov, K. Rybnikov, Y. Kholodov, V. Barsegov

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Tags: Biological Physics, Chemical Physics, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Pseudo-random number generators

November 9, 2010 by hgpu

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Weihang Zhu

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Tags: Computer science, CUDA, Differential evolution, Finance, nVidia, nVidia GeForce GTX 280, Pattern Search

November 9, 2010 by hgpu

Viewpoints: A high-performance high-dimensional exploratory data analysis tool

P.R. Gazis, C. Levit, M.J.Way

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 7950 GTX, OpenGL, Physics, Statistics and Probability, Visualization

November 9, 2010 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

SIML: A Fast SIMD Algorithm for Calculating LINGO Chemical Similarities on GPUs and CPUs

An exploration of CUDA and CBEA for a gravitational wave source-modelling application

Teraflop per second gravitational lensing ray-shooting using graphics processing units

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units: An implementation in CUDA (thesis)

High Performance Direct Gravitational N-body Simulations on Graphics Processing Units

Running the NIM Next-Generation Weather Model on GPUs

Deployment of parallel linear genetic programming using GPUs on PC and video game console platforms

Fast and informative flow simulations in a building by using fast fluid dynamics model on graphics processing unit

Gravitational tree-code on graphics processing units: implementation in CUDA

Efficient pseudo-random number generators for biomolecular simulations on graphics processors

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Viewpoints: A high-performance high-dimensional exploratory data analysis tool

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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