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Sparse systems solving on GPUs with GMRES

Raphael Couturier, Stephane Domas

Tags: Computer science, CUBLAS, CUDA, nVidia, Sparse linear iterative solvers, Sparse matrix

February 18, 2011 by hgpu

Accelerating Algorithms on GPUs in SCIRun: the Conjugate Gradient Case Study

Devon Yablonski, Miriam Leeser, Dana Brooks

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Source codes

Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Package, Sparse matrix

February 17, 2011 by hgpu

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Jee W. Choi, Amik Singh, Richard W. Vuduc

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix, Tesla C1060, Tesla C870, Tesla T10P

February 5, 2011 by hgpu

Sparse regularization in MRI iterative reconstruction using GPUs

Yue Zhuo, Bradley Sutton, Xiao-Long Wu, Justin Haldar, Wen-mei Hwu, Zhipei Liang

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Tags: CUDA, Image processing, Image reconstruction, MRI, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

Efficient Sparse Matrix-Vector Multiplication on CUDA

Nathan Bell and Michael Garland

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Sparse matrix

January 24, 2011 by hgpu

FSAI preconditioned CG algorithm combined with GPU technique for the finite element analysis of electromagnetic scattering problems

K. Xu, D. Z. Ding, Z. H. Fan, R. S. Chen

Tags: Conjugate gradient solver, Electrodynamics, Finite element method, Sparse matrix

January 14, 2011 by hgpu

Taming irregular EDA applications on GPUs

Yangdong S. Deng, Bo D. Wang, Shuai Mu

Tags: CAD, Computer science, Programming techniques, Sparse matrix

January 13, 2011 by hgpu

Efficient gather and scatter operations on graphics processors

Bingsheng He, Naga K. Govindaraju, Qiong Luo, Burton Smith

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800, Search, Sorting, Sparse matrix

January 6, 2011 by hgpu

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Abhijeet Gaikwad, Ioane Muni Toke

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Tags: Computational finance, CUDA, Finance, Linear Algebra, nVidia, Sparse matrix, Tesla C870

December 28, 2010 by hgpu

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

Luc Buatois, Guillaume Caumon, Bruno Levy

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, Linear Algebra, OpenGL, Sparse matrix

December 22, 2010 by hgpu

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Sparse matrix

December 13, 2010 by hgpu

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Piotr Luszczek, Stanimir Tomov

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Tags: Algorithms, Computer science, Linear Algebra, Mixed precision, Sparse matrix

December 12, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Sparse systems solving on GPUs with GMRES

Accelerating Algorithms on GPUs in SCIRun: the Conjugate Gradient Case Study

Model-driven autotuning of sparse matrix-vector multiply on GPUs

Sparse regularization in MRI iterative reconstruction using GPUs

Efficient Sparse Matrix-Vector Multiplication on CUDA

FSAI preconditioned CG algorithm combined with GPU technique for the finite element analysis of electromagnetic scattering problems

Taming irregular EDA applications on GPUs

Efficient gather and scatter operations on graphics processors

GPU based sparse grid technique for solving multidimensional options pricing PDEs

Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Using Mixed Precision for Sparse Matrix Computations to Enhance the Performance while Achieving 64-bit Accuracy

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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