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Dynamic context management for low power coarse-grained reconfigurable architecture
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Great Lakes Symposium on VLSI archive
Proceedings of the 19th ACM Great Lakes symposium on VLSI table of contents
Boston Area, MA, USA
SESSION: Low power table of contents
Pages 33-38  
Year of Publication: 2009
ISBN:978-1-60558-522-2
Authors
Yoonjin Kim  Texas A&M University, College Station, TX, USA
Rabi N. Mahapatra  Texas A&M University, College Station, TX, USA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Coarse-grained reconfigurable architectures (CGRA) require many processing elements (PEs) and a configuration memory unit (configuration cache) for reconfiguration of its PE array. Al-though this structure is meant for high performance and flexibility, it consumes significant power. Specially, power consumption by configuration cache is explicit overhead compared to other types of IP cores. Reducing power in configuration cache is very crucial for CGRA to be more competitive and reliable processing core in embedded systems. In this paper, we propose a dynamic context management strategy for power saving in configuration cache. This power-efficient approach works without degrading the per-formance and flexibility of CGRA. Experimental results show that the proposed approach saves 38.24%/38.15% of the power in write/read-operation of configuration cache with negligible area overhead compared to the previous design.


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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Nikhil Bansal, Sumit Gupta, Nikil D. Dutt, and Alex Nicolau, "Analysis of the performance of coarse-grain reconfigurable architectures with different processing element configurations," in Proc. of Workshop on Application Specific Processors, Dec. 2003.
 
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Frank Bouwens, Mladen Berekovic, Andreas Kanstein and Georgi Gaydadjiev, "Architectural exploration of the ADRES coarse-grained reconfigurable array," in proc. of Int. Workshop on Applied Reconfigurable Computing, pp. 1--13, March 2007.
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Collaborative Colleagues:
Yoonjin Kim: colleagues
Rabi N. Mahapatra: colleagues