文章基本信息

标题：Performance Comparison of FPGAs and GPUs: Solving Sparse Matrices Case-Study
本地全文：下载
作者：Khaled Salah ; Mohamed AbdelSalam
期刊名称：International Journal of Computers and Communications
印刷版ISSN：2074-1294
出版年度：2017
卷号：11
页码：45-50
出版社：University Press
摘要：In this paper, performance comparison of FPGAs and GPUs are introduced. Numerical methods to solve sparse matrices are evaluated as the main case-study. The experimental results showed that GPUs show superior performance over FPGAs/HW Emulation in terms of run time for small #equations. For large number of equations “in order of ten millions”, the FPGAs/HW emulation outperforms GPUs as the parallelism rate of the emulation becomes higher in that case.