high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

Jani Sainio

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, Package

November 13, 2010 by hgpu

Air pollution modelling using a graphics processing unit with CUDA

Ferenc Molnar Jr., Tamas Szakaly, Robert Meszaros, Istvan Lagzi

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Tags: Computational Physics, CUDA, Earth and Space Sciences, Medical Physics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Package, Physics

November 13, 2010 by hgpu

Real-time digital holographic microscopy observable in multi-view and multi-resolution

Tomoyoshi Shimobaba, Nobuyuki Masuda, Yasuyuki Ichihashi, Tomoyoshi Ito

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Tags: Biological Physics, Computational Physics, Computer holography, CUDA, nVidia, nVidia GeForce GTX 295, Optics, Package, Physics

November 12, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

November 11, 2010 by hgpu

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Alexander Moore, Alice C. Quillen

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Tags: Astrophysics, Celestial mechanics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package

November 10, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

November 9, 2010 by hgpu

SU(2) Lattice QCD Simulations on Fermi GPUs

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Package, Physics

November 9, 2010 by hgpu

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Ronald Babich, Michael A. Clark, Balint Joo

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Physics, QCD, Tesla C1060, Tesla C2050, Tesla C870

November 9, 2010 by hgpu

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Christian Walder

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla C2050

November 9, 2010 by hgpu

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Imran S. Haque, Vijay S. Pande

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9500 GT, Package, Tesla C870

November 9, 2010 by hgpu

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Marius Buibas, Gabriel A. Silva

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Tags: Biological Physics, Condensed matter, CUDA, Disordered Systems and Neural Networks, Mathematical Physics, Neurons and Cognition, nVidia, Package, Physics, Tesla C1060

November 9, 2010 by hgpu

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

See all packages

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high performance computing on graphics processing units: hgpu.org

Packages

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

Air pollution modelling using a graphics processing unit with CUDA

Real-time digital holographic microscopy observable in multi-view and multi-resolution

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

MYRIAD: A new N-body code for simulations of Star Clusters

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

SU(2) Lattice QCD Simulations on Fermi GPUs

Parallelizing the QUDA Library for Multi-GPU Calculations in Lattice Quantum Chromodynamics

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks

Recent source codes

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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