| Incorporating imprecise computation into system-level design of application-specific heterogeneous multiprocessors |
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Annual ACM IEEE Design Automation Conference
archive
Proceedings of the 34th annual Design Automation Conference
table of contents
Anaheim, California, United States
Pages: 58 - 63
Year of Publication: 1997
ISBN:0-89791-920-3
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Authors
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Yosef G. Tirat-Gefen
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Dept. of EE-Systems (USC) and Mentor Graphics Corp., Wilsonville, OR
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Diogenes C. Silva
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Dept. of EE-Systems, Univ. of Southern California (USC), Los Angeles, CA
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Alice C. Parker
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Dept. of EE-Systems, Univ. of Southern California (USC), Los Angeles, CA
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Downloads (6 Weeks): 5, Downloads (12 Months): 11, Citation Count: 0
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ABSTRACT
This paper introduces a basic mixedinteger-linear model (MILP) to design application-specificheterogeneous multiprocessors (ASHM) allowingimprecise computation of tasks executed ina non-preemptive mode.The proposed model wasused in the development of a genetic algorithm integratedinto the tool set MEGA that uses soft computingtechniques for design of optimal/near-optimalASHMs subject to constraints on performance, costand output-data quality.
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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PETERSON, L. (editor), Proc. of the 1996 Heterogeneous Computing Workshop, IEEE Computer Press, 1996.
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PRAKASH, S. and PARKER, A. C., "SOS" Synthesis of Application Specific Heterogeneous Multiprocessor Systems", J. of Par. and Distributed Comp., No. 16, pp. 338-351, Dec. 1992.
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RAVIKuMAR, C. P. and GUPTA, A. K.,"Genetic Algorithm for mapping tasks onto a reconfigurable parallel processor", IEE Proc. in Comp. Dig. Tech., vol. 142, no. 2, pp. 81-86, March 1995.
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