high performance computing on graphics processing units: hgpu.org

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Iterative GPGPU Linear Solvers for Sparse Matrices

Filip Vesely

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Tags: Brook, Computer science, nVidia, nVidia GeForce 8600 M GS, RapidMind, Sparse linear iterative solvers, Thesis

February 24, 2011 by hgpu

Fast Implementation of Two Hash Algorithms on nVidia CUDA GPU

Gorka Lerchundi Osa

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 9400 GT, Thesis

February 24, 2011 by hgpu

GPU-Assisted Malware

Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, Security

February 23, 2011 by hgpu

GPU Coprocessing for Wireless Network Simulation

Scott Bai, David M. Nicol

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Tags: Computer science, CUDA, KD-tree, Networks, nVidia, nVidia GeForce 9800 GX2, Raytracing, Wireless baseband architecture

February 23, 2011 by hgpu

Architectural Comparisons for a Quantum Monte Carlo Application

Akila Gothandaraman, Rick Weber, Gregory D. Peterson, Robert J. Hinde, Robert J. Harrison

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Tags: AMD FireStream 9170, ATI, Brook, Computer science, CUDA, FPGA, Monte Carlo simulation, nVidia, QMC, Tesla C1060

February 23, 2011 by hgpu

Flexible Hardware Mapping for Finite Element Simulations on Hybrid CPU / GPU Clusters

Aaron Becker, Isaac Dooley, Laxmikant V. Kale

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Tags: Computer science, CUDA, Finite element method, GPU cluster, nVidia, Tesla S1070

February 23, 2011 by hgpu

Probing biomolecular machines with graphics processors

James C. Phillips, John E. Stone

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Tags: Biology, Biomolecules, CUDA, GPU cluster, Molecular simulation, nVidia, OpenCL, Review, Tesla S1070

February 23, 2011 by hgpu

GPU Acceleration of the Generalized Interpolation Material Point Method

Wei-Fan Chiang, Michael DeLisi, Todd Hummel, Tyler Prete, Kevin Tew, Mary Hall, Phil Wallstedt, James Guilkey

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Tags: CUDA, nVidia, nVidia GeForce 9600 GT, Particle-in-cell methods, Physics

February 22, 2011 by hgpu

Accelerating Energy Minimization using Graphics Processors

Bharat Sukhwani, Martin C. Herbordt

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Tags: Chemistry, CUDA, Molecular modeling, nVidia, Tesla C1060

February 22, 2011 by hgpu

Accelerating the ANSYS Direct Sparse Solver with GPUs

Geraud P. Krawezik, Gene Poole

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Tags: Computer science, CUDA, Linear Algebra, Mixed precision, nVidia, Sparse direct solvers, Tesla C1060

February 22, 2011 by hgpu

Production Floating Point Applications on FPGAs

Martin C. Herbordt, Bharat Sukhwani, Matt Chiu, Md. Ashfaq Khan

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Tags: Chemistry, Computer science, CUDA, FPGA, Molecular dynamics, Molecular modeling, nVidia, Tesla C1060

February 22, 2011 by hgpu

Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms

Hartwig Anzt, Bjorn Rocker, Vincent Heuveline

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Tags: Computer science, Energy-efficient computing, Linear Algebra, Mixed precision, nVidia, Tesla C1060, Tesla S1070

February 22, 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

Iterative GPGPU Linear Solvers for Sparse Matrices

Fast Implementation of Two Hash Algorithms on nVidia CUDA GPU

GPU-Assisted Malware

GPU Coprocessing for Wireless Network Simulation

Architectural Comparisons for a Quantum Monte Carlo Application

Flexible Hardware Mapping for Finite Element Simulations on Hybrid CPU / GPU Clusters

Probing biomolecular machines with graphics processors

GPU Acceleration of the Generalized Interpolation Material Point Method

Accelerating Energy Minimization using Graphics Processors

Accelerating the ANSYS Direct Sparse Solver with GPUs

Production Floating Point Applications on FPGAs

Energy efficiency of mixed precision iterative refinement methods using hybrid hardware platforms

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

Most viewed papers (last 30 days)