high performance computing on graphics processing units: hgpu.org

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Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices

Doug Hains, Zach Cashero, Mark Ottenberg, Wim Bohm, Sanjay Rajopadhye

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C1060, Tesla C2050

November 5, 2011 by hgpu

Power Flow Analysis on CUDA-based GPU

Yizheng Liao

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTS 250, Power Systems Simulation, Thesis

November 5, 2011 by hgpu

Real-time Flame Rendering with GPU and CUDA

Wei Wei,Yanqiong Huang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 7600 GS, OpenGL, Particle simulation, Rendering

November 5, 2011 by hgpu

Accelerating a TV based JPEG decompression algorithm with Cuda

Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

November 4, 2011 by hgpu

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

Radoslaw Mazur, Alfred Mertins

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 8800 GTS, Package, Signal processing

November 4, 2011 by hgpu

Parallelization of maximum likelihood fits with OpenMP and CUDA

Sverre Jarp, Alfio Lazzaro, Julien Leduc, Andrzej Nowak, Felice Pantaleo

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Tags: Algorithms, Benchmarking, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 470, OpenMP, Physics

November 4, 2011 by hgpu

Gyrofluid Modeling of Turbulent, Kinetic Physics

Kate Marie Despain

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Tags: CUDA, Fortran, MPI, nVidia, nVidia GeForce 9800 GTX, Package, Physics, Plasma physics

November 4, 2011 by hgpu

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Maxwell Hutchinson, Michael Widom

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Tags: Computational chemistry, Computational Physics, Condensed matter, CUDA, nVidia, Physics, Tesla C2050, Tesla C2075

November 4, 2011 by hgpu

Computing Optimal Cycle Mean in Parallel on CUDA

Jiri Barnat, Petr Bauch, Lubos Brim, Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, Optimization

November 4, 2011 by hgpu

Parallelization of the Generalized Hough Transform on GPU

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Emilio L. Zapata, Nicolas Guil

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, Sorting

November 3, 2011 by hgpu

True 4D Image Denoising on the GPU

Anders Eklund, Mats Andersson, Hans Knutsson

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Tags: Algorithms, Computational Complexity, Computed tomography, CT, CUDA, FFT, Filtering, Image processing, Medicine, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 580, Tomography

November 3, 2011 by hgpu

GrIP: A Framework for Experiments with Screen Space Algorithms

Thorsten Roth, Andre Hinkenjann

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480

November 3, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Improving CUDASW++, a Parallelization of Smith-Waterman for CUDA Enabled Devices

Power Flow Analysis on CUDA-based GPU

Real-time Flame Rendering with GPU and CUDA

Accelerating a TV based JPEG decompression algorithm with Cuda

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

Parallelization of maximum likelihood fits with OpenMP and CUDA

Gyrofluid Modeling of Turbulent, Kinetic Physics

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Computing Optimal Cycle Mean in Parallel on CUDA

Parallelization of the Generalized Hough Transform on GPU

True 4D Image Denoising on the GPU

GrIP: A Framework for Experiments with Screen Space Algorithms

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Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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