Applications

hgpu.org » Applications

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

Gloria Ortega, Francisco Vazquez, Inmaculada Garcia, Ester M. Garzon

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Tags: Computer science, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Package, Sparse matrix, Tesla C2050

June 12, 2013 by hgpu

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Jan Lucas, Sohan Lal, Michael Andersch, Mauricio Alvarez-Mesa, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GT 240, nVidia GeForce GTX 580, Package

June 7, 2013 by hgpu

Composition and Reuse with Compiled Domain-Specific Languages

Arvind K. Sujeeth, Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Hassan Chafi, Victoria Popic, Michael Wu, Aleksander Prokopec, Vojin Jovanovic, Martin Odersky, Kunle Olukotun

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Tags: Computer science, CUDA, MPI, nVidia, Package, Performance, Tesla C2050

May 31, 2013 by hgpu

GPU Multiple Sequence Alignment Fourier-Space Cross-Correlation Alignment

Matthias Alexander Lee

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Tags: Bioinformatics, Biology, Computational Complexity, CUDA, nVidia, Package, Python, RNA, Sequence alignment, Signal processing

May 31, 2013 by hgpu

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

Joshua Penton

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Tags: ATI, ATI Radeon HD 6750 M, Computer science, FFT, Java, OpenCL, Package, Performance, Programming techniques

May 28, 2013 by hgpu

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

Zs. Regaly, Zs. Sandor, P. Csomos, S. Ataiee

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Tags: Astrophysics, CUDA, Numerical simulation, nVidia, Package, Solar and Stellar Astrophysics, Tesla C2050

May 27, 2013 by hgpu

An Investigation of the Performance Portability of OpenCL

S.J. Pennycook, S.D. Hammond, S.A. Wright, J.A. Herdman, I. Miller, S.A. Jarvis

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Tags: ATI, ATI FirePro V7800, Benchmarking, Computer science, CUDA, Fortran, MPI, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

May 21, 2013 by hgpu

CLgrep: A Parallel String Matching Tool

Peng Wu

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, String matching, Thesis

May 20, 2013 by hgpu

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Peter Frank Perroni

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Tags: Algorithms, Astrophysics, Image processing, nVidia, OpenCL, Package, Particle swarm optimization, Tesla C2050, Thesis

May 16, 2013 by hgpu

Gauge fixing in lattice QCD with multi-GPUs

Mario Schrock, Hannes Vogt

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Tags: Algorithms, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia Quadro FX 4000, Package, Physics, QCD, Tesla C2070

May 16, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Peter Wittek

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Tags: Computer science, CUDA, Mathematical Software, MPI, Neural and Evolutionary Computing, nVidia, Package, Self-organizing map, Tesla M2050, Text mining

May 8, 2013 by hgpu

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

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high performance computing on graphics processing units: hgpu.org

Applications

FastSpMM: An Efficient Library for Sparse Matrix Matrix Product on GPUs

How a Single Chip Causes Massive Power Bills. GPUSimPow: A GPGPU Power Simulator

Composition and Reuse with Compiled Domain-Specific Languages

GPU Multiple Sequence Alignment Fourier-Space Cross-Correlation Alignment

Effects of Concurrency Techniques and Algorithm Performance: A Comparative Analysis of Single-Threaded, Multi-Threaded, and GPGPU Programming Techniques

Trapping of giant-planet cores – I. vortex aided trapping at the outer dead zone edge

An Investigation of the Performance Portability of OpenCL

CLgrep: A Parallel String Matching Tool

Point Spread Function Estimation of Solar Surface Images with a Cooperative Particle Swarm Optimization on GPUs

Gauge fixing in lattice QCD with multi-GPUs

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Somoclu: An Efficient Distributed Library for Self-Organizing Maps

Recent source codes

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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

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