high performance computing on graphics processing units: hgpu.org

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A Distributed Data Mining Framework Accelerated with Graphics Processing Units

Nam-Luc Tran, Quentin Dugauthier, Sabri Skhiri

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Tags: Clustering, Computer science, Data mining, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, Tesla K20

December 6, 2013 by hgpu

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Software router, String matching

December 4, 2013 by hgpu

Exploiting Heterogeneous Systems: Keccak on OpenCL

Allan Mariano de Souza, Fabio Dacencio Pereira, Edward David Moreno

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, OpenCL, Security

December 4, 2013 by hgpu

Benchmarking Parallel Performance on Many-Core Processors

Bryant C. Lam, Ajay Barboza, Ravi Agrawal, Alan D. George, Herman Lam

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Tags: Benchmarking, Computer science, Heterogeneous systems, Intel Phi, Intel Xeon Phi, Performance

November 29, 2013 by hgpu

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Enes Bajrovic, Siegfried Benkner, Jiri Dokulil, Martin Sandrieser

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Tesla C2050

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

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Wasuwee Sodsong, Jingun Hong, Seongwook Chung, Shin-Dug Kim, Bernd Burgstaller

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Tags: Compression, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 680, OpenCL, Performance

November 23, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

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Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

A Hybrid GPU/CPU FFT Library for Large FFT Problems

Shuo Chen

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Tags: Computer science, CUDA, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Tesla C2070, Tesla C2075, Thesis

November 12, 2013 by hgpu

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Fan Li, Minglu Jin

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Pseudo-random number generators, Tesla C2070

November 11, 2013 by hgpu

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Dongjin Kim, Kyu-Ho Park

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix decomposition, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

November 8, 2013 by hgpu

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

Federico Ciccozzi

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia

November 8, 2013 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

A Distributed Data Mining Framework Accelerated with Graphics Processing Units

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Exploiting Heterogeneous Systems: Keccak on OpenCL

Benchmarking Parallel Performance on Many-Core Processors

Autotuning of Pattern Runtimes for Accelerated Parallel Systems

Regression Modelling of Power Consumption for Heterogeneous Processors

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

A Hybrid GPU/CPU FFT Library for Large FFT Problems

A High Performance Random Number Generator Using Heterogeneous Computing Platform

Tiled QR Decomposition and Its Optimization on CPU and GPU Computing System

Automatic Synthesis of Heterogeneous CPU-GPU Embedded Applications from a UML Profile

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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