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Vector stream processing for effective application of heterogeneous parallelism
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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents
Honolulu, Hawaii
SESSION: Computational sciences track table of contents
Pages 976-980  
Year of Publication: 2009
ISBN:978-1-60558-166-8
Authors
John C. Linford  Virginia Polytechnic Institute and State University, Blacksburg, VA
Adrian Sandu  Virginia Polytechnic Institute and State University, Blacksburg, VA
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Heterogeneous multicore chipsets with many levels of parallelism are becoming increasingly common in high-performance computing systems. Effective use of parallelism in these new chipsets is paramount. We present a 3D chemical transport module optimized for the Cell Broadband Engine Architecture (CBEA). By leveraging the heterogeneous parallelism of the Cell with a method we call vector stream processing, our transport module achieves performance comparable to two nodes of an IBM BlueGene/P, or eight Xeon cores, on a single Cell chip. Performance of the module on two CBEA systems, an IBM BlueGene/P, and an eight-core shared-memory Intel Xeon workstation are given.


REFERENCES

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Collaborative Colleagues:
John C. Linford: colleagues
Adrian Sandu: colleagues