high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Ivan Zecena, Martin Burtscher, Tongdan Jin, Ziliang Zong

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Tags: Computer science, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 480, Performance

November 27, 2013 by hgpu

Regression Modelling of Power Consumption for Heterogeneous Processors

Tahir Diop

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, nVidia, OpenCL, Tesla M2090, Thesis

November 27, 2013 by hgpu

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Guillaume Chapuis, Hristo Djidjev, Rumen Andonov, Sunil Thulasidasan, Dominique Lavenier

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Tags: Algorithms, Computer science, CUDA, Electronic design automation, GPU cluster, nVidia, Path problems, Tesla C2090

November 26, 2013 by hgpu

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Samuel J. Parker, Vassilios A. Chouliaras

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Tags: CMP, Computer science, OpenCL

November 26, 2013 by hgpu

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Xingxing Zhu, Yangdong Deng

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Rasterization, Raytracing, Rendering

November 26, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Matthew Anker

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Tags: Algorithms, Computer science, CUDA, Finance, nVidia, Pseudo-random number generators, Tesla C2050, Thesis

November 25, 2013 by hgpu

Fast approximate k-nearest neighbours search using GPGPU

Niko Lukac, Borut Zalik

Tags: Computer science, CUDA, Hashing, Nearest neighbour, nVidia, Tesla C2050

November 24, 2013 by hgpu

A parallel search tree algorithm for vertex cover on graphical processing units

Rashad Karim Kabbara

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 560, Search, Thesis

November 24, 2013 by hgpu

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Teng Li, Vikram K. Narayana, Tarek El-Ghazawi

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C2070

November 24, 2013 by hgpu

LoGV: Low-overhead GPGPU Virtualization

Mathias Gottschlag, Marius Hillenbrand, Jens Kehne, Jan Stoess, Frank Bellosa

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Virtualization

November 23, 2013 by hgpu

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

M. Paszynski, K. Kuznik, V.M. Calo, D. Pardo

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, Tesla C2070

November 23, 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

Evaluating the Performance and Energy Efficiency of N-Body Codes on Multi-Core CPUs and GPUs

Regression Modelling of Power Consumption for Heterogeneous Processors

Efficient Multi-GPU Algorithm for All-Pairs Shortest Paths

Enabling OpenCL on a Configurable, VLIW Chip-Multiprocessor

Evaluation and Improvement of GPU Ray Tracing with a Thread Migration Technique

Exploring GPGPU Acceleration of Process-Oriented Simulations

Pseudo Random Number Generators on Graphics Processing Units, with Applications in Finance

Fast approximate k-nearest neighbours search using GPGPU

A parallel search tree algorithm for vertex cover on graphical processing units

Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing

Graph grammar based multi-frontal direct solver for isogeometric FEM simulations on GPU

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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