返回
Time-parallel multiscale/multiphysics framework
DOI:10.1016/j.jcp.2009.07.035.png)
摘要
En 中文
We introduce the time-parallel compound wavelet matrix method (tpCWM) for modeling the temporal evolution of multiscale and multiphysics systems. The method couples time parallel (TP) and CWM methods operating at different spatial and temporal scales. We demonstrate the efficiency of our approach on two examples: a chemical reaction kinetic system and a non-linear predator-prey system. Our results indicate that the tpCWM technique is capable of accelerating time-to-solution by 2-3-orders of magnitude and is amenable to efficient parallel implementation. (C) 2009 Elsevier Inc. All rights reserved.
Keyword:
Parallel-in-time
Wavelet-based multiscaling
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.8
论文数:
1.6W
被引数:
7.4W
机构
引用论文
GOMSFE (Generic Object Models for Substation and Feeder Equipment) models of multifunctional microprocessor relays多功能微处理器继电器的GOMSFE(通用变电站和馈线设备对象模型)模型
Determinants of anemia in premature newborns and the immediate outcome at the Mother and Child Center of the Chantal BIYA Foundation, Cameroon早产新生儿贫血的影响因素及在喀麦隆甘塔尔比亚基金会母婴中心的即时结局

