high performance computing on graphics processing units: hgpu.org

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A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Cristobal A. Navarro, Nancy Hitschfeld-Kahler, Eliana Scheihing

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenGL, Triangular meshes

January 8, 2012 by hgpu

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, Physics

January 8, 2012 by hgpu

Massively Parallel Sequential Monte Carlo for Bayesian Inference

John Geweke, Garland Durham

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

January 8, 2012 by hgpu

Some Graph Algorithms And Related Primitives For The GPU

Jyothish Soman

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060, Thesis

January 8, 2012 by hgpu

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Liu Li, Liu Li, Yang Guangwen

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, Sparse matrix, Tesla C1060

January 8, 2012 by hgpu

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Alex Biryukov and Johann Grossschadl

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 8, 2012 by hgpu

Report on the Feasibility of Implementing PIC Codes on a GPU

Joshua Payne

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Source codes

Tags: CUDA, nVidia, nVidia GeForce GTX 470, Package, Physics, Plasma physics

January 7, 2012 by hgpu

Fat versus Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Guido Klingbeil, Radek Erban, Mike Giles, Philip K. Maini

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce GTX 260, Stochastic simulation

January 7, 2012 by hgpu

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

Sungpack Hong, Tayo Oguntebi, Kunle Olukotun

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 275, Tesla C2050

January 7, 2012 by hgpu

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement

Hartwig Anzt, Piotr Luszczek, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Mixed precision, nVidia, Tesla C2070

January 6, 2012 by hgpu

Artifact-Free JPEG Decompression with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

January 6, 2012 by hgpu

Optimizing a Biomedical Imaging Orientation Score Framework

Chidiebere Okwudire, Martin Palatnik, Xu Zhang, Tanya Kudchadker

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Tags: Computational Complexity, CUDA, GPU cluster, Image processing, nVidia, nVidia GeForce GTX 570, Optimization

January 6, 2012 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

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high performance computing on graphics processing units: hgpu.org

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Direct solution of the Boltzmann equation for a binary mixture on GPUs

Massively Parallel Sequential Monte Carlo for Bayesian Inference

Some Graph Algorithms And Related Primitives For The GPU

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Report on the Feasibility of Implementing PIC Codes on a GPU

Fat versus Thin Threading Approach on GPUs: Application to Stochastic Simulation of Chemical Reactions

Efficient Parallel Graph Exploration on Multi-Core CPU and GPU

GPU-Accelerated Asynchronous Error Correction for Mixed Precision Iterative Refinement

Artifact-Free JPEG Decompression with Total Generalized Variation

Optimizing a Biomedical Imaging Orientation Score Framework

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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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