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Cost Efficient Synthesis of Real-Time Systems upon Heterogeneous Multiprocessor Platforms
Santa Fe, New Mexico April 26-April 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2004.130307918th International Parallel and Distr ...
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Sanjoy Baruah, University of North Carolina at Chapel Hill
Given a collection of recurring tasks or processes that comprise the software for an embedded system, and a number of different types of available processing units, the minimum cost synthesis problem is concerned with obtaining an implementation of the embedded system upon a multiprocessor platform comprised of processing units from among the available types, such that the total cost of the platform is minimized. It is shown that this problem is intractable (NP-hard in the strong sense). Approximation algorithms are presented that guarantee to obtain implementations with cost no more than a constant amount greater than twice the cost of an optimal implementation.
Index Terms:
Multiprocessors; Embedded systems; Periodic tasks; Approximation algorithms
Citation:
Sanjoy Baruah, "Cost Efficient Synthesis of Real-Time Systems upon Heterogeneous Multiprocessor Platforms," ipdps, vol. 3, pp.120b, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 2, 2004
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