high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, Heterogeneous systems, Linear Algebra, Programming techniques

January 19, 2012 by hgpu

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Muhammad Hasan Jamal, Nabeel AlSaber

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Tags: Computer science, CUDA, FEM, Finite element method, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5600

January 15, 2012 by hgpu

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Joao V. F. Lima, Nicolas Maillard, Vincent Danjean, Thierry Gautier

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia

January 14, 2012 by hgpu

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 13, 2012 by hgpu

Incomplete-LU and Cholesky Preconditioned Iterative Methods Using CUSPARSE and CUBLAS

Maxim Naumov

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

January 12, 2012 by hgpu

LU Factorization for Accelerator-based Systems

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Julien Langou, Hatem Ltaief, Stanimire Tomov

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070, Tesla S2050

January 9, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Davor Davidovic, Enrique S. Quintana-Orti

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Tags: Algorithms, CUBLAS, CUDA, Linear Algebra, Mathematics, nVidia, Tesla C2050

January 6, 2012 by hgpu

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Pablo Quesada-Barriuso, Julian Lamas-Rodriguez, Dora B. Heras, Montserrat Boo, Francisco Arguello

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 295, OpenMP

January 5, 2012 by hgpu

Performance of Implicit Solver Strategies on GPUs

Uli Gohner

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Tags: CUDA, Fluid dynamics, Linear Algebra, nVidia, nVidia GeForce 9600 GT

January 2, 2012 by hgpu

Accelerating linear system solutions using randomization techniques

Marc Baboulin, Jack Dongarra, Julien Herrmann, Stanimire Tomov

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

December 25, 2011 by hgpu

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

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Enhancing Performance for Solving Finite Element Mesh using Heterogeneous Platforms

Linear Algebra Algorithms for Hybrid Architectures with XKaapi

Towards ad-hoc GPU acceleration of parallel eigensystem computations

Incomplete-LU and Cholesky Preconditioned Iterative Methods Using CUSPARSE and CUBLAS

LU Factorization for Accelerator-based Systems

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Applying OOC Techniques in the Reduction to Condensed Form for Very Large Symmetric Eigenproblems on GPUs

Selecting the Best Tridiagonal System Solver Projected on Multi-Core CPU and GPU Platforms

Performance of Implicit Solver Strategies on GPUs

Accelerating linear system solutions using randomization techniques

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