high performance computing on graphics processing units: hgpu.org

hgpu.org » Sparse matrix

Parallel implementation of conjugate gradient method on graphics processors

Marcin Wozniak, Tomasz Olas, Roman Wyrzykowski

Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Sparse matrix, Tesla C1060

September 7, 2011 by hgpu

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

V. Kotamraju, S. Payandeh, J. Dill

Tags: 3D Graphics and Realism, Computer science, Dynamic surface, nVidia, nVidia GeForce 6600 GT, Sparse matrix

August 25, 2011 by hgpu

Improving the Performance of the Sparse Matrix Vector Product with GPUs

F. Vazquez, G. Ortega, J.J. Fernandez, E.M. Garzon

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

July 17, 2011 by hgpu

A Sparse Matrix Personality for the Convey HC-1

Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Sparse matrix, Tesla S1070

July 14, 2011 by hgpu

FPGA and GPU implementation of large scale SpMV

Yi Shan, Tianji Wu, Yu Wang, Bo Wang, Zilong Wang, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, ATI Stream, Computer science, FPGA, Sparse matrix

July 10, 2011 by hgpu

Tuning A Hybrid GPU-CPU V-cycle Multilevel Preconditioner for Solving Large Real and Complex Systems of FEM Equations

A. Dziekonski, A. Lamecki, M. Mrozowski

Tags: Conjugate gradient solver, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 480, Sparse matrix

July 6, 2011 by hgpu

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Wei Cao, Lu Yao, Zongzhe Li, Yongxian Wang, Zhenghua Wang

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

June 20, 2011 by hgpu

Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays

Oliver Bimber, Anselm Grundhofer, Thomas Zeidler, Daniel Danch, Pedro Kapakos

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Tags: Algorithms, Computer science, Presentation, Rendering, Sparse matrix, Virtual reality

June 8, 2011 by hgpu

Sparse matrix computations on manycore GPU’s

Michael Garland

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems, Programming techniques, Sparse matrix

June 2, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

May 30, 2011 by hgpu

The GPU on irregular computing: performance issues and contributions

Manuel Ujaldon, Joel Saltz

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Tags: Computer science, nVidia, nVidia GeForce 6800, OpenGL, Performance, Sparse matrix

May 27, 2011 by hgpu

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Ahmed H. El Zein, Alistair P. Rendell

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix

May 20, 2011 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Parallel implementation of conjugate gradient method on graphics processors

Towards a GPU-Based Simulation Framework for Deformable Surface Meshes

Improving the Performance of the Sparse Matrix Vector Product with GPUs

A Sparse Matrix Personality for the Convey HC-1

FPGA and GPU implementation of large scale SpMV

Tuning A Hybrid GPU-CPU V-cycle Multilevel Preconditioner for Solving Large Real and Complex Systems of FEM Equations

Implementing Sparse Matrix-Vector multiplication using CUDA based on a hybrid sparse matrix format

Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays

Sparse matrix computations on manycore GPU’s

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

The GPU on irregular computing: performance issues and contributions

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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