Multi-GPU Acceleration of Algebraic Multigrid Preconditioners

被引：1
|
作者：
Richter, Christian [1 ]
Schoeps, Sebastian [2 ]
Clemens, Markus [3 ]
机构：
[1] Univ Wuppertal, Chair Electromagnet Theory, D-42119 Wuppertal, Germany
[2] Tech Univ Darmstadt, Grad Sch Computat Engn, Inst Theorie Elektromagnet Felder, D-64285 Darmstadt, Germany
[3] Berg Univ Wuppertal, Chair Electromagnet Theory, Wuppertal, Germany
来源：
SCIENTIFIC COMPUTING IN ELECTRICAL ENGINEERING (SCEE 2014) | 2016年 / 23卷
关键词：
GRAPHIC PROCESSING UNITS; FIELD SIMULATIONS; PERFORMANCE;
D O I：
10.1007/978-3-319-30399-4_9
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A multi-GPU implementation of Krylov subspace methods with an algebraic multigrid preconditioners is proposed. With this, large linear system are solved which result from electrostatic field problems after discretization with the Finite Element Method. As data is distributed across multiple GPUs the resulting impact on memory and execution time are discussed for a given problem solved with either first or second order ansatz functions.
引用
收藏
页码：83 / 90
页数：8
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