JAC3D在NCUBE/ 10上的实现

C. Vaughan
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引用次数: 2

摘要

提出了JAC3D在大规模并行超立方体计算机上的实现。在桑迪亚开发的三维有限元代码JACSD,每年使用数百小时的Cray时间来解决结构分析问题。本文讨论了两个主要研究领域:(1)开发通用方法、数据结构和例程,以便在处理器之间进行信息通信;(2)实现和评估四种算法,以负载均衡的方式将问题映射到超立方体的节点处理器上。JACJD在NCUBE/ 10上的性能与在Cray X-MP上的性能进行了比较:NCUBE/ 10版本目前比Cray多花费20%的计算时间。在使用更多NCUBE内存的大型模拟中,NCUBE/ 10将比Cray花费更少的计算时间。总结了更新的NCUBE 2超立方体上的当前活动,这将导致结构分析问题的大规模并行解决方案的运行时性能的数量级提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of JAC3D on The NCUBE/ten
An implementation is presented for JAC3D on a massively parallel hypercube computer. JACSD, a three dimensional finite element code developed at Sandia, uses several hundred hours of Cray time each year in solving structural analysis problems. Two major areas of investigation are discussed: (1) the development of general methods, data structures, and routines to communicate information between processors, and (2) the implementation and evaluation of four algorithms to map problems onto the node processors of the hypercube in a loadbalanced fashion. The performance of JACJD on the NCUBE/ten is compared with that on a Cray X-MP: the NCUBE/ten version presently takes 20% more compute time than the Cray. On a larger simulation which used more of the NCUBE's memory, the NCUBE/ten would take less compute time than the Cray. Current activity on the newer NCUBE 2 hypercube is summarized which should lead to an order of magnitude improvement in run-time performance for the massively parallel solution of structural analysis problems.
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