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dc.contributor.authorLin, MingShen
dc.contributor.authorHsu, Yarsun
dc.date.accessioned2009-06-02T06:39:33Z
dc.date.accessioned2020-05-25T06:41:15Z-
dc.date.available2009-06-02T06:39:33Z
dc.date.available2020-05-25T06:41:15Z-
dc.date.issued2006-10-18T07:49:16Z
dc.date.submitted2004-12-15
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/1869-
dc.description.abstractAs the power of computer progresses, software get increasingly more complex and intelligent. Meanwhile, network infrastructure has also imporved at a high speed. Because of these advancements, there is a strong interest in sharing computing resources scattered over many different places. Therefore, the large-scale resources sharing and management become very important issues. At the beginning, the sharing of computational resources is the primary interest of resource sharing. A typical case is the so-called cluster of cluster(CoC), which consists of a group of clusters working together to solve a large computation-intensive application. To facilitate MPI programs to function properly across clusters, MPI extensions for parallel system, such as MPICH-Globus2 and MPICH-VMI have been introduced and are briefly discussed here. We also discuss how these MPI implementations work across clusters behind firewalls. In addition, an optimization of PACX-MPI for data transmission between two clusters has been implemented. Communications between two clusters are studied and handled with multithreading. System throughputs are measured by use of NAS Parallel Benchmark[16] and Persistence of Vision Raytracer[17].
dc.description.sponsorship大同大學,台北市
dc.format.extent6p.
dc.format.extent3111749 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2004 ICS會議
dc.subject.otherWeb-Services
dc.titleGrid Enabled MPI:PACX-MPI Optimization
分類:2004年 ICS 國際計算機會議

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