An approach to enhance the performance of large-scale structural analysis on CPU-MIC heterogeneous clusters-Reference-Cited by-同舟云学术

An approach to enhance the performance of large-scale structural analysis on CPU-MIC heterogeneous clusters

Published:2016-10-17 Issue:8 Volume:29 Page:e4033
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Miao Xinqiang¹²,Jin Xianlong¹²,Ding Junhong³

Affiliation:

1. State Key Laboratory of Mechanical System and Vibration; Shanghai Jiao Tong University; Shanghai China

2. School of Mechanical Engineering; Shanghai Jiao Tong University; Shanghai China

3. Shanghai Supercomputer Center; Shanghai China

Funder

National 863 High Technology Research and Development Program of China

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4033/fullpdf

Reference35 articles.

1. A parallel finite-element framework for large-scale gradient-based design optimization of high-performance structures;Kennedy;Finite Elem Anal Des,2014

2. Hybrid computational strategy for structural damage detection with short-term monitoring data;Ni;Mech Syst Signal Process,2016

3. Improving parallel substructuring efficiency by using a multilevel approach;Yang;J Comput Civ Eng,2012

4. An explicit dynamics GPU structural solver for thin shell finite elements;Bartezzaghi;Comput Struct,2015

5. Hybrid parallelism of multifrontal linear solution algorithm with out of core capability for finite element analysis;Kim;CMES-Comput Model Eng Sci,2012