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Hybrid programming implementation and analysis of CG method in high-performance cluster

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2 Author(s)
Lijuan Shi ; Sch. of Inf. Sci. & Technol., Northwest Univ., Xi''an, China ; Weifeng Shi

CG Method is the most prominent iterative method for solving sparse systems of linear equations. Implementing the CG method in high-performance cluster has practical significance in many fields such as science and engineering. The advantages of using hybrid MPI+OpenMP programming in high-performance cluster are full use of cluster's features between the nodes with a distributed storage and within nodes shared storage. Coarse-grained message passing communication is implemented by MPI between the nodes. Fine-grained shared-memory communication is implemented by OpenMP within the nodes, which reduces the running time of parallel algorithm.

Published in:
Computer Design and Applications (ICCDA), 2010 International Conference on  (Volume:5 )

Date of Conference: 25-27 June 2010

Page(s):
V5-247 - V5-250
E-ISBN :
978-1-4244-7164-5
Print ISBN:
978-1-4244-7164-5
INSPEC Accession Number:
11524268
Conference Location :
Qinhuangdao
Digital Object Identifier :
10.1109/ICCDA.2010.5541197
Product Type:
Conference Publications

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