high performance computing on graphics processing units: hgpu.org

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Fast development of dense linear algebra codes on graphics processors

M. Jesus Zafont, Alberto F. Martin, Francisco Igual, Enrique S. Quintana-Orti

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce 8800 Ultra

January 20, 2011 by hgpu

Direct N-body Kernels for Multicore Platforms

Nitin Arora, Aashay Shringarpure, Richard W. Vuduc

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Tags: Computer science, CUDA, N-body simulation, nVidia, Tesla C1060, Tesla C870

January 20, 2011 by hgpu

Motion Estimation with Non-Local Total Variation Regularization

Manuel Werlberger, Thomas Pock, Horst Bischof

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280, Optical flow

January 20, 2011 by hgpu

Graph Analysis with High-Performance Computing

Bruce Hendrickson, Jonathan W. Berry

Tags: Computer science, Graph theory, Networks, Performance

January 20, 2011 by hgpu

TEDI: efficient shortest path query answering on graphs

Fang Wei

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Tags: Algorithms, Computer science, Networks, Path problems, Search

January 20, 2011 by hgpu

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Cass Everitt, Mark J. Kilgard

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Tags: Computer science, Graphics, nVidia, nVidia GeForce 3, nVidia GeForce 4, OpenGL, Rendering

January 20, 2011 by hgpu

Accelerating Quadrature Methods for Option Valuation

Anson H. T. Tse, David B. Thomas, Wayne Luk

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Tags: CUDA, Finance, nVidia, nVidia GeForce 8600 GT, Tesla C1060

January 19, 2011 by hgpu

Implicit Parallel Time Integrators

Andrew Christlieb, Benjamin Ong

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Tags: Algorithms, Computer science, Programming techniques

January 19, 2011 by hgpu

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Ananth Nallamuthu, Melissa C. Smith, Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam

Tags: Bioinformatics, Biology, FPGA, Molecular dynamics

January 19, 2011 by hgpu

Towards microsecond biological molecular dynamics simulations on hybrid processors

Scott Hampton, Pratul K. Agarwal, Sadaf R. Alam, Paul S. Crozier

Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Scott S. Hampton, Sadaf R. Alam, Paul S. Crozier, Pratul K. Agarwal

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Tags: Bioinformatics, Biology, CUDA, Molecular dynamics, nVidia, Tesla C1060, Tesla C2050

January 19, 2011 by hgpu

Accelerating 3D Fourier migration with graphics processing units

Jin H. Zhang, Shu Q. Wang, Zhen X. Yao

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Tags: CUDA, Earth and Space Sciences, FFT, Geoscience, nVidia, nVidia GeForce GTX 280, Seismology

January 19, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Fast development of dense linear algebra codes on graphics processors

Direct N-body Kernels for Multicore Platforms

Motion Estimation with Non-Local Total Variation Regularization

Graph Analysis with High-Performance Computing

TEDI: efficient shortest path query answering on graphs

Practical and Robust Stenciled Shadow Volumes for Hardware-Accelerated Rendering

Accelerating Quadrature Methods for Option Valuation

Implicit Parallel Time Integrators

Energy efficient biomolecular simulations with FPGA-based reconfigurable computing

Towards microsecond biological molecular dynamics simulations on hybrid processors

Optimal Utilization of Heterogeneous Resources for Biomolecular Simulations

Accelerating 3D Fourier migration with graphics processing units

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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