high performance computing on graphics processing units: hgpu.org

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Power Management and Optimization

Hari Sundararajan

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Tags: Computer science, CUDA, Energy-efficient computing, Green, nVidia, nVidia GeForce GTX 260, Performance, Thesis

October 2, 2011 by hgpu

Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

Marcus Huntemann, Georg Heygster, Gang Hong

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GTX 260, OpenCL, Sensing, Weather prediction

September 24, 2011 by hgpu

EFFEX: an embedded processor for computer vision based feature extraction

Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd Austin

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 260, SIFT

September 20, 2011 by hgpu

Auto-tuning of fast fourier transform on graphics processors

Yuri Dotsenko, Sara S. Baghsorkhi, Brandon Lloyd, Naga K. Govindaraju

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Tags: Computer science, CUDA, FFT, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia GeForce GTX 280, Performance, Software Engineering

September 14, 2011 by hgpu

Parallel volume rendering implementation on graphics cards using CUDA

Jens Fangerau, Susanne Kromker

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 280, OpenGL, Rendering, Visualization

September 13, 2011 by hgpu

High-performance SIMT code generation in an active visual effects library

Jay L.T. Cornwall, Lee Howes, Paul H.J. Kelly, Phil Parsonage, Bruno Nicoletti

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Tags: Algorithms, Code generation, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, Performance, Software Engineering, Visualization

September 11, 2011 by hgpu

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Jacquelyne Forgette, Renata Wachowiak-Smolikova, Mark Wachowiak

Tags: Algorithms, CUDA, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 260, OpenCL, Signal processing

September 8, 2011 by hgpu

Motion planning for autonomous driving with a conformal spatiotemporal lattice

Matthew McNaughton, Chris Urmson, John M. Dolan, Jin-Woo Lee

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Tags: Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

August 27, 2011 by hgpu

A Variant of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito

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Source codes

Tags: Algorithms, Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

August 3, 2011 by hgpu

Performance Debugging of GPGPU Applications with the Divergence Map

Bruno Coutinho, Diogo Sampaio, Fernando M. Q. Pereira, Wagner Meira Jr.

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, PTX

August 1, 2011 by hgpu

Blind image deconvolution algorithm on NVIDIA CUDA platform

Tomas Mazanec, Antonin Hermanek, Jan Kamenicky

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260

July 31, 2011 by hgpu

Applying graphics processor acceleration in a software defined radio prototyping environment

William Plishker, George F. Zaki, Shuvra S. Bhattacharyya, Charles Clancy, John Kuykendall

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Tags: Benchmarking, CUDA, nVidia, nVidia GeForce GTX 260, Signal processing

July 24, 2011 by hgpu

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

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high performance computing on graphics processing units: hgpu.org

Power Management and Optimization

Single Scattering of Aspherical Particles in DDA Calculations on GPUs Using OpenCL

EFFEX: an embedded processor for computer vision based feature extraction

Auto-tuning of fast fourier transform on graphics processors

Parallel volume rendering implementation on graphics cards using CUDA

High-performance SIMT code generation in an active visual effects library

Implementing Independent Component Analysis in General-Purpose GPU Architectures

Motion planning for autonomous driving with a conformal spatiotemporal lattice

A Variant of Mersenne Twister Suitable for Graphic Processors

Performance Debugging of GPGPU Applications with the Divergence Map

Blind image deconvolution algorithm on NVIDIA CUDA platform

Applying graphics processor acceleration in a software defined radio prototyping environment

Recent source codes

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

PyOMP: OpenMP for Python in Numba

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GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

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Gaia AVU-GSR

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

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Over-synchronization in GPU Programs

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