Parallel Triangular Matrix System Solving on CPU-GPU System

被引：0
|
作者：
Mahfoudhi, Ryma [1 ]
Achour, Sarni [1 ]
Mahjoub, Zaher [1 ]
机构：
[1] Univ Tunis El Manar, Fac Sci Turns, Univ Campus,Manar 2, Tunis 2092, Tunisia
来源：
2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2016年
关键词：
Divide & Conquer; GPU; Heterogeneous Linear Algebra; Recursive Algorithms; Triangular Matrix System Solving;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
GPU-accelerated computing consists in using a graphics processing unit (GPU) together with a CPU in order to enhance the performance of scientific and engineering applications. With the increasing spread of GPUs as hardware accelerators for scientific applications, several optimized linear algebra libraries have emerged to make use of this additional computing power. In this paper we present an implementation of a recursive algorithm for triangular matrix system solving targeting a hybrid multicore + GPU system.
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页数：6
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