high performance computing on graphics processing units: hgpu.org

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Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

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Tags: Biology, Computer science, CUDA, Error recovery, nVidia, Package

November 22, 2010 by hgpu

Parallel Position Weight Matrices Algorithms

Mathieu Giraud, Jean-Stephane Varre

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Tags: Biology, Computer science, CUDA, nVidia, nVidia GeForce 8800, nVidia GeForce GTX 280, Package

November 22, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

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Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

Stanimire Tomov, Rajib Nath, Jack Dongarra

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Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Package

November 17, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

November 11, 2010 by hgpu

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Christian Walder

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla C2050

November 9, 2010 by hgpu

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

Imran S. Haque, Vijay S. Pande

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9500 GT, Package, Tesla C870

November 9, 2010 by hgpu

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Danny van Dyk, Markus Geveler, Sven Mallach, Dirk Ribbrock, Dominik Goeddeke, Carsten Gutwenger

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Tags: Cell processor, Computer science, CUDA, Mathematical Software, Mixed precision, nVidia, nVidia GeForce 8800 GTX, Package

November 9, 2010 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Packages

Fast Disk Encryption through GPGPU Acceleration

Synergistic execution of stream programs on multicores with accelerators

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Parallel Position Weight Matrices Algorithms

GPGPU computation and visualization of three-dimensional cellular automata

A GPGPU compiler for memory optimization and parallelism management

Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2

Hard Data on Soft Errors: A Large-Scale Assessment of Real-World Error Rates in GPGPU

HONEI: A collection of libraries for numerical computations targeting multiple processor architectures

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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