8679

Sparse Matrix Multiplication using CUDA and Mex Interface

Abhishek Deshpande
College of Arts and Sciences, Florida State University
Florida State University, master project, 2012

@article{deshpande2012sparse,

   title={Sparse Matrix Multiplication using CUDA and Mex Interface},

   author={Deshpande, A.},

   year={2012}

}

Download Download (PDF)   View View   Source Source   

1624

views

In recent years, the development in the architecture of graphics processing units (GPUs) has revolutionized the area of high performance computing by offering massive parallelism and performance improvements in many applications including matrix algebra. While it is possible to harness the power of GPUs for dense matrix computations, sparse matrix computations are still complex since mapping the sparsity of individual matrices at thread level granularity is a challenging task. In this report, we explain the use of mex interface of MATLAB and its collaboration with CUDA [4] (Compute Unified Device Architecture from Nvidia) to perform the sparse matrix computation. We explain how we have exploited various CUDA template libraries (such as Thrust and CUSP) for performing essential matrix transformation and present a custom multiplication CUDA kernel (function) that was implemented as a part of deliverable of this project.
No votes yet.
Please wait...

* * *

* * *

Featured events

2018
November
27-30
Hida Takayama, Japan

The Third International Workshop on GPU Computing and AI (GCA), 2018

2018
September
19-21
Nagoya University, Japan

The 5th International Conference on Power and Energy Systems Engineering (CPESE), 2018

2018
September
22-24
MediaCityUK, Salford Quays, Greater Manchester, England

The 10th International Conference on Information Management and Engineering (ICIME), 2018

2018
August
21-23
No. 1037, Luoyu Road, Hongshan District, Wuhan, China

The 4th International Conference on Control Science and Systems Engineering (ICCSSE), 2018

2018
October
29-31
Nanyang Executive Centre in Nanyang Technological University, Singapore

The 2018 International Conference on Cloud Computing and Internet of Things (CCIOT’18), 2018

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Contact us: