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Level set函数快速步进重构的隐式分区并行
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作者 黄筱云 夏波 +1 位作者 程永舟 江诗群 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2020年第3期441-447,共7页
为进一步提高共享内存架构下level set函数重构并行效率,本文提出一种隐式分区并行重构方法,该方法无需提前进行区域分解,只需预先分割交界面,便可实现快速步进并行重构,且区域分解也同步进行。根据圆球、Zalesak球和哑铃等值面快速步... 为进一步提高共享内存架构下level set函数重构并行效率,本文提出一种隐式分区并行重构方法,该方法无需提前进行区域分解,只需预先分割交界面,便可实现快速步进并行重构,且区域分解也同步进行。根据圆球、Zalesak球和哑铃等值面快速步进并行重构结果表明:隐式分区算法的计算耗时小于显式分区算法;相同线程数量下隐式并行算法带来的加速比与显式算法接近,8线程下隐式分区并行算法的加速比达到4;隐式分区算法中节点重演次数少于显式分区算法节点回滚次数。 展开更多
关键词 Level set函数 快速步进 重构 并行 隐式分区 共享内存 区域分解 加速比
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An Explicit-Implicit Predictor-Corrector Domain Decomposition Method for Time Dependent Multi-Dimensional Convection Diffusion Equations 被引量:1
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作者 Liyong Zhu Guangwei Yuan Qiang Du 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE 2009年第3期301-325,共25页
The numerical solution of large scale multi-dimensional convection diffusion equations often requires efficient parallel algorithms.In this work,we consider the extension of a recently proposed non-overlapping domain ... The numerical solution of large scale multi-dimensional convection diffusion equations often requires efficient parallel algorithms.In this work,we consider the extension of a recently proposed non-overlapping domain decomposition method for two dimensional time dependent convection diffusion equations with variable coefficients. By combining predictor-corrector technique,modified upwind differences with explicitimplicit coupling,the method under consideration provides intrinsic parallelism while maintaining good stability and accuracy.Moreover,for multi-dimensional problems, the method can be readily implemented on a multi-processor system and does not have the limitation on the choice of subdomains required by some other similar predictor-corrector or stabilized schemes.These properties of the method are demonstrated in this work through both rigorous mathematical analysis and numerical experiments. 展开更多
关键词 Convection diffusion equation parallel algorithm domain decomposition modifiedupwind differences PREDICTOR-CORRECTOR explicit-implicit scheme convergence analysis.
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