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MaRS: a macro-pipelined reconfigurable system
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Source Conference On Computing Frontiers archive
Proceedings of the 1st conference on Computing frontiers table of contents
Ischia, Italy
SESSION: Pipelined architectures table of contents
Pages: 343 - 349  
Year of Publication: 2004
ISBN:1-58113-741-9
Authors
Nozar Tabrizi  University of California, Irvine, Irvine, CA
Nader Bagherzadeh  University of California, Irvine, Irvine, CA
Amir H. Kamalizad  University of California, Irvine, Irvine, CA
Haitao Du  University of California, Irvine, Irvine, CA
Sponsors
ACM: Association for Computing Machinery
SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce MaRS, a reconfigurable, parallel computing engine with special emphasis on scalability, lending itself to the computation-/data-intensive multimedia data processing and wireless communication. Global communication between the processing elements (PEs) in MaRS is performed through a 2D-mesh deadlock-free network, avoiding any concerns due to non-scalable bus-based communication. Additionally, we have developed a second layer of inter-PE connection realized by distributed shared register files and conditional operands, to enhance the performance of MaRS for those applications demanding a tightly coupled PE array. We have modeled and verified a major part of MaRS. The promising results of our preliminary analyses show that MaRS can efficiently be tailored to different applications offering flexible data communication, and high performance.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Sanchez-Eleza M., Du H., Tabrizi N., Long Y., Bagherzadeh N., and Fernandez M., "Algorithm optimizations and mapping scheme for interactive ray tracing on a reconfigurable architecture," Journal of Computers & Graphics, Vol. 27, No. 5, 2003.
 
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Collaborative Colleagues:
Nozar Tabrizi: colleagues
Nader Bagherzadeh: colleagues
Amir H. Kamalizad: colleagues
Haitao Du: colleagues