首页 | 本学科首页   官方微博 | 高级检索  
     

基于NUMECA FINE/Turbo的并行计算测试
引用本文:董晶.基于NUMECA FINE/Turbo的并行计算测试[J].计算机辅助工程,2014,23(6):108-110.
作者姓名:董晶
作者单位:沈阳鼓风机集团股份有限公司
摘    要:为具体了解CFD软件NUMECA FINE/Turbo的并行计算性能,良好把握后续的科研工作进度,分别研究在激活超线程情况下单节点计算与多节点并行计算以及CPU在激活超线程前、后计算速度的差异.结果表明:在多节点并行计算时,计算速度与实际参加并行计算的CPU物理核心数量成正比;在激活超线程的情况下,并行计算节点数在超过实际物理核心数后明显降低计算速度的提升.

关 键 词:并行计算  超线程  计算节点数  CPU核心数量  计算速度  NUMECA  FINE/Turbo
收稿时间:2014/11/11 0:00:00
修稿时间:2014/12/3 0:00:00

Parallel computing test based on NUMECA FINE/Turbo
DONG Jing.Parallel computing test based on NUMECA FINE/Turbo[J].Computer Aided Engineering,2014,23(6):108-110.
Authors:DONG Jing
Affiliation:Shenyang Blower Works Group Co., Ltd.
Abstract:To understand the parallel computing performance of CFD software NUMECA concretely and have a good grasp of the work progress of the follow up research, the single node computing and the multi node parallel computing are separately researched in the case of activated hyper thread, and the difference of computation speed of the CPU before and after activating hyper thread is obtained. The results show that, the computation speed is proportional to the actual computational number of physical CPU cores in the case of multi node parallel computing; in the case that the hyper thread is activated, the ascension of computation speed is obviously reduced when the number of parallel computing nodes is more than physical cores.
Keywords:parallel computing  hyper thread  computation node number  CPU core number  computation speed  NUMECA  FINE/Turbo
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《计算机辅助工程》浏览原始摘要信息
点击此处可从《计算机辅助工程》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号