high performance computing on graphics processing units: hgpu.org

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A Scheduling Framework for a Heterogeneous Parallel Architecture

Wei Zhang

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C1060, Thesis

June 30, 2012 by hgpu

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

Josef Weinbub, Karl Rupp, Siegfried Selberherr

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Tags: Benchmarking, Computer science, Distributed computing, MPI, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 580, OpenCL, Package, Tesla C2050

June 1, 2012 by hgpu

Dynamic Programming with CUDA – Part II

Robert Hochberg

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Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, Package, Review

April 10, 2012 by hgpu

Advanced Programming Platform for efficient use of Data Parallel Hardware

Luis Cabellos

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Tags: Computer science, Distributed computing, nVidia, OpenCL, Tesla C1060

March 23, 2012 by hgpu

A GPU Accelerated High Performance Cloud Computing Infrastructure for Grid Computing Based Virtual Environmental Laboratory

Francisco Giunta, Raffaele Montella, Giuliano Laccetti, Florin Isaila, Francisco Javier Garcia Blas

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Tags: Cloud, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 9400 GT, Security, Virtualization

December 27, 2011 by hgpu

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Mikolaj Mackowiak, Krzysztof Kurowski, Aleksandr Igumenov

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Hybrid computing, MPI, nVidia, Optimization, Package

December 27, 2011 by hgpu

Playdoh: A lightweight Python library for distributed computing and optimisation

Cyrille Rossant, Bertrand Fontaine, Dan F.M. Goodman

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Tags: Computer science, CUDA, Differential equations, Distributed computing, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Partial differential equations, PDEs, Python

December 10, 2011 by hgpu

High Performance Multi-agent System based Simulations

Prashant Sethia

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Tags: Algorithms, Cloud, Computer science, CUDA, Distributed computing, MapReduce, nVidia, Package, Tesla T10

December 8, 2011 by hgpu

Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

Fumihiko Ino, Yuma Munekawa, Kenichi Hagihara

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Tags: Algorithms, Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Search, Smith-Waterman algorithm

December 4, 2011 by hgpu

Dynamic adaptation and distribution of binaries to heterogeneous architectures

Espen Angell Kristiansen

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 280, OpenCL, Package, Playstation, Thesis

November 22, 2011 by hgpu

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

J. Duato, Pena, A.J. a, F. Silla, R. Mayo, E.S. Quintana-Orti

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Tags: Computer science, CUDA, Distributed computing, Energy-efficient computing, nVidia, Package, PC cluster, Tesla C1060

November 12, 2011 by hgpu

Distributed GPU Password Cracking Research Project

Aleksandar Kasabov, Jochem van Kerkwijk

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Tags: Computer science, Distributed computing, nVidia, nVidia GeForce GTX 295, OpenCL, Security

October 25, 2011 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

A Scheduling Framework for a Heterogeneous Parallel Architecture

Towards Distributed Heterogenous High-Performance Computing with ViennaCL

Dynamic Programming with CUDA – Part II

Advanced Programming Platform for efficient use of Data Parallel Hardware

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Playdoh: A lightweight Python library for distributed computing and optimisation

Sequence Homology Search using Fine-Grained Cycle Sharing of Idle GPUs

Dynamic adaptation and distribution of binaries to heterogeneous architectures

rCUDA: Reducing the number of GPU-based accelerators in high performance clusters

Distributed GPU Password Cracking Research Project

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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