high performance computing on graphics processing units: hgpu.org

hgpu.org » Sparse matrix

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

Parallel preconditioned conjugate gradient algorithm on GPU

Rudi Helfenstein, Jonas Koko

Tags: Algorithms, Conjugate gradient solver, Mathematics, Sparse matrix

May 10, 2011 by hgpu

Sparse Matrix Formats Evaluation and Optimization on a GPU

Maxime R. Hugues, Serge G. Petiton

Tags: Computer science, Linear Algebra, Sparse matrix

May 1, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Parallel preconditioned conjugate gradient algorithm on GPU

Sparse Matrix Formats Evaluation and Optimization on a GPU

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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