high performance computing on graphics processing units: hgpu.org

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A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Robert Halstead, Walid Najjar

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 280, Sparse matrix

April 8, 2013 by hgpu

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena

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Tags: ATI, ATI Radeon HD 6550, ATI Radeon HD 6670, Computer science, Heterogeneous systems, OpenCL, Performance, Task scheduling

April 8, 2013 by hgpu

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Mickael Gastineau, Jacques Laskar

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Tags: Algorithms, Computer science, CUDA, Instrumentation and Methods for Astrophysics, Mathematical Software, nVidia, Symbolic Computation, Tesla S2050

April 8, 2013 by hgpu

Atomic-free Irregular Computations on GPUs

Rupesh Nasre, Martin Burtscher, Keshav Pingali

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Package, Performance, Tesla K20

April 7, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Security, Tesla

April 7, 2013 by hgpu

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

Steven Dalton, Nathan Bell, Luke N. Olson

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Sorting, Sparse matrix, Tesla C2075

April 7, 2013 by hgpu

OpenCL C++

Benedict R. Gaster, Lee Howes

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Tags: Computer science, Heterogeneous systems, OpenCL

April 6, 2013 by hgpu

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Nydruva Biligere Priyadarshi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Performance

April 6, 2013 by hgpu

Improving GPU Performance Prediction with Data Transfer Modeling

Michael Boyer, Jiayuan Meng, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance

April 6, 2013 by hgpu

Real-Time Object-Space Edge Detection using OpenCL

Dwight House, Dr. Xin Li

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Tags: Computer science, Edge detection, OpenCL, Rendering

April 6, 2013 by hgpu

Parallel Implementation of Dynamic Programming Algorithm Using Graphics Processing Unit

M. Khurram Rehman, M. Umer Sarwar, M. Ramzan Talib, M. Salman Mansoor, M. Bilal Sarwar

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GT 525 M, nVidia GeForce GT 610 M, Sequence alignment

April 6, 2013 by hgpu

Adapting Particle Filter Algorithms to Many-Core Architectures

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: Algorithms, ATI, ATI Radeon HD 6970, ATI Radeon HD 7970, Bayesian, Computer science, Computer vision, CUDA, Filtering, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package, Particle filtering

April 4, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Hardware Multithreaded SpMV Kernel for the Convey HC-2ex

Load Balancing in a Changing World: Dealing with Heterogeneity and Performance Variability

Highly Scalable Multiplication for Distributed Sparse Multivariate Polynomials on Many-core Systems

Atomic-free Irregular Computations on GPUs

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Optimizing Sparse Matrix-Matrix Multiplication for the GPU

OpenCL C++

A Performance Study of Zero Crossing Rate (ZCR) on Graphics Processors (GPUs) Using CUDA

Improving GPU Performance Prediction with Data Transfer Modeling

Real-Time Object-Space Edge Detection using OpenCL

Parallel Implementation of Dynamic Programming Algorithm Using Graphics Processing Unit

Adapting Particle Filter Algorithms to Many-Core Architectures

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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