high performance computing on graphics processing units: hgpu.org

hgpu.org » Sparse matrix

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

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 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

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high performance computing on graphics processing units: hgpu.org

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

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

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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