A Decomposition Approach for Optimizing Large-Scale Parallel Image Composition on Multi-Core MPP Systems

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dc.contributor.authorNonaka, Jorjien_US
dc.contributor.authorOno, Kenjien_US
dc.contributor.editorKurt Debattista and Daniel Weiskopf and Joao Combaen_US
dc.date.accessioned2014-01-26T16:47:49Z
dc.date.available2014-01-26T16:47:49Z
dc.date.issued2009en_US
dc.description.abstractIn recent years, multi-core processor architecture has emerged as the predominant hardware architecture for high performance computing (HPC) systems. In addition, computational nodes based on SMP (symmetric multiprocessing) and NUMA (non-uniform memory architecture) have become increasingly common. Traditional parallel image composition algorithms were not primarily designed to take advantage of the combined message passing and shared address space parallelism provided by modern massively parallel processing (MPP) systems. This therefore might result in undesirable performance loss. In this study, we have investigated the use of a simple decomposition approach to take advantage of these different hardware characteristics for optimizing the parallel image composition process. Performance evaluation was carried out on a multi-core, multi-processor architecture based T2K Open Supercomputer, and we obtained encouraging results showing the effectiveness of the proposed approach. This approach also seems promising to tackle the large-scale image composition problem on nextgeneration HPC systems where an ever increasing number of processing cores are expected.en_US
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualizationen_US
dc.identifier.isbn978-3-905674-15-6en_US
dc.identifier.issn1727-348Xen_US
dc.identifier.urihttps://doi.org/10.2312/EGPGV/EGPGV09/071-078en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.1 [Computer Graphics]: Hardware Architecture- Parallel Processing I.3.2 [Computer Graphics]: Graphics Systems-Distributed/network graphicsen_US
dc.titleA Decomposition Approach for Optimizing Large-Scale Parallel Image Composition on Multi-Core MPP Systemsen_US
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EGPGV09: Eurographics Symposium on Parallel Graphics and Visualization