high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Acceleration of a Full-scale Industrial CFD Application with OP2

Istvan Z. Reguly, Gihan R. Mudalige, Carlo Bertolli, Michael B. Giles, Adam Betts, Paul H. J. Kelly, David Radford

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Tags: Computer science, CUDA, Fluid dynamics, MPI, nVidia, Performance, Tesla K20

April 7, 2014 by hgpu

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

Hartwig Anzt, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Sorting, Sparse matrix, Tesla K40

April 7, 2014 by hgpu

Optimizing Krylov Subspace Solvers on Graphics Processing Units

Hartwig Anzt, Stanimire Tomov, Piotr Luszczek, Ichitaro Yamazaki, Jack Dongarra, William Sawyer

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Sparse matrix, Tesla K20

April 6, 2014 by hgpu

A Low-Power Hybrid CPU-GPU Sort

Lawrence Tan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia ION, Sorting, Thesis

April 6, 2014 by hgpu

High Performance Computing for Large Graphs of Internet Applications using GPU

Jia Uddin, Emmanuel Oyekanlu, Cheol-Hong Kim, Jong-Myon Kim

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GT 630 M, Software router

April 6, 2014 by hgpu

GPU Accelerated Fractal Image Compression for Medical Imaging in Parallel Computing Platform

Md. Enamul Haque, Abdullah Al Kaisan, Mahmudur R Saniat, Aminur Rahman

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Tags: Algorithms, Compression, Computer vision, CUDA, Image processing, nVidia, Pattern recognition

April 6, 2014 by hgpu

Parallel Support Vector Machines in Practice

Stephen Tyree, Jacob R. Gardner, Kilian Q. Weinberger, Kunal Agrawal, John Tran

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Source codes

Tags: Algorithms, Benchmarking, Computer science, CUDA, Linear Algebra, Machine learning, nVidia, Package, Tesla C2075

April 6, 2014 by hgpu

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Neri Mickael, Denis Mestivier

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, Optimization, Stochastic simulation, Tesla K10, Tesla K20, Tesla M2075, Tesla M2090

April 4, 2014 by hgpu

Petascale computations for Large-scale Atomic and Molecular collisions

Brendan M McLaughlin, Connor P Ballance

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Tags: BLAS, Computational Physics, Computer science, CUDA, Fortran, Molecular simulation, MPI, nVidia, Tesla K20

April 4, 2014 by hgpu

A New High Performance GPU-based Approach to Prime Numbers Generation

A. Nezarat, M.M. Raja, G. Dastghaybifard

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Tags: Algorithms, CUDA, nVidia, nVidia 9600 GT, nVidia GeForce GTX 570, Security

March 30, 2014 by hgpu

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

G. Wang, Y. Xiong, J. Yun, J.R. Cavallar

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Tags: Computer vision, Image processing, OpenCL

March 23, 2014 by hgpu

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

E.M. Mahé, J.-M. Chauvet

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Tags: AMD Radeon R9 290, ATI, ATI Radeon HD 6870, nVidia, nVidia GeForce GTX Titan, OpenCL, Security

March 23, 2014 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

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

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high performance computing on graphics processing units: hgpu.org

Applications

Acceleration of a Full-scale Industrial CFD Application with OP2

Implementing a Sparse Matrix Vector Product for the SELL-C/SELL-C-sigma formats on NVIDIA GPUs

Optimizing Krylov Subspace Solvers on Graphics Processing Units

A Low-Power Hybrid CPU-GPU Sort

High Performance Computing for Large Graphs of Internet Applications using GPU

GPU Accelerated Fractal Image Compression for Medical Imaging in Parallel Computing Platform

Parallel Support Vector Machines in Practice

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Petascale computations for Large-scale Atomic and Molecular collisions

A New High Performance GPU-based Approach to Prime Numbers Generation

Computer Vision Accelerators for Mobile Systems based on OpenCL GPGPU Co-Processing

Fast GPGPU-Based Elliptic Curve Scalar Multiplication

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

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

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