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

页码：549 / 552

页数：4

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