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hgpu.org » Applications » Computer science

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Hans Henrik Brandenborg Sorensen

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

April 16, 2012 by hgpu

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Chittampally Vasanth Raja, Srinivas Balasubramanian, Prakash S. Raghavendra

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Tags: Computer science, Heterogeneous systems, Mathematical Software, Numerical Analysis, nVidia, OpenCL, Tesla C2050

April 16, 2012 by hgpu

Efficient Hash Tables on the GPU

Dan Anthony Feliciano Alcantara

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, Thesis

April 14, 2012 by hgpu

An implementation of the tile QR factorization for a GPU and multiple CPUs

Jakub Kurzak, Rajib Nath, Peng Du, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 480

April 14, 2012 by hgpu

Parallelization of PageRank on Multicore Processors

Tarun Kumar, Parikshit Sondhi, Ankush Mittal

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Tags: Algorithms, Cell processor, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

April 14, 2012 by hgpu

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

Filippo Spiga, Ivan Girotto

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Source codes

Tags: Benchmarking, BLAS, Computer science, CUDA, FFT, Matrix multiplication, nVidia, Package, Tesla C2050

April 14, 2012 by hgpu

GPU parallel computing: Programming language, debugging tools and data structures

Kun Zhou

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Tags: Algorithms, Computer science, CUDA, nVidia, Programming Languages

April 14, 2012 by hgpu

A GPU Memory System Comparison for an Elliptic Test Problem

Yu Wang, Marc Olano, Matthias K. Gobbert, Wesley Griffin

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, Memory model, nVidia, Poisson equation, Tesla C2070

April 13, 2012 by hgpu

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Unmesh Bordoloi, Ahmed Rezine

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla M2050

April 13, 2012 by hgpu

Writing a modular GPGPU program in Java

Masayuki Ioki, Shumpei Hozumi, Shigeru Chiba

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Tags: Computer science, CUDA, Fortran, Java, nVidia, Tesla M2050

April 13, 2012 by hgpu

Parallel programming with CUDA

Jon Nielsen, Truls Mosegaard

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Tags: Algorithms, Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Overview, Thesis

April 13, 2012 by hgpu

Verifying GPU Kernels by Test Amplification

Alan Leung, Manish Gupta, Yuvraj Agarwal, Rajesh Gupta, Ranjit Jhala

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Tags: Computer science, CUDA, nVidia, Programming Languages, Software Engineering

April 12, 2012 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

Auto-Tuning of Level 1 and Level 2 BLAS for GPUs

Heterogeneous Highly Parallel Implementation of Matrix Exponentiation Using GPU

Efficient Hash Tables on the GPU

An implementation of the tile QR factorization for a GPU and multiple CPUs

Parallelization of PageRank on Multicore Processors

phiGEMM: a CPU-GPU library for porting Quantum ESPRESSO on hybrid systems

GPU parallel computing: Programming language, debugging tools and data structures

A GPU Memory System Comparison for an Elliptic Test Problem

Software Model Checking for GPGPU Programs, Towards a Verification Tool

Writing a modular GPGPU program in Java

Parallel programming with CUDA

Verifying GPU Kernels by Test Amplification

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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