Solving MoM Problems with Million Level Unknowns Using a Parallel Out-Of-Core Solver on a High Performance Cluster

被引：12
|
作者：
Zhang, Yu [1 ]
Sarkar, Tapan K. [1 ]
Taylor, Mary [1 ]
Moon, Hongsik [1 ]
机构：
[1] Syracuse Univ, EECS, Syracuse, NY 13244 USA
来源：
2009 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM AND USNC/URSI NATIONAL RADIO SCIENCE MEETING, VOLS 1-6 | 2009年
关键词：
Method of Moments; High performance computing; Parallel Out-of-Core Solver;
D O I：
10.1109/CSE.2009.392
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 newly developed code, TIDES, is run on a high performance computing cluster for complicated EM problems. TIDES has the capability to exceed the memory limitations of typical computer systems by using the Method of Moments with higher-order basis functions and a parallel out-of-core solver. In 2008, TIDES solved an MoM problem with half a million unknowns using only 320 GB RAM and 4 TB of hard disk space. A project with million level unknowns is simulated in this paper to create a new record by using only 1 TB RAM with approximately 16 TB RAM of hard disk space.
引用
收藏
页码：549 / 552
页数：4
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