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A multiprogrammed workload model for energy and performance estimation of adaptive chip-multiprocessors
KTH, Superseded Departments, Microelectronics and Information Technology, IMIT.
KTH, Superseded Departments, Microelectronics and Information Technology, IMIT. (Kista Multicore Center)ORCID iD: 0000-0002-9637-2065
2004 (English)In: Proceedings of 18th International  Parallel and Distributed Processing Symposium, 2004, IEEE , 2004, 3449-3456 p.Conference paper (Refereed)
Abstract [en]

Summary form only given. Today, there is a trend towards steadily increasing functionality in mobile terminals. This trend in turn increases the performance demand on the architecture that is supposed to do all the work. It is likely that more traditional architectures like multiprocessors are used in future mobile terminals. They are attractive because they can now be integrated on a single chip and can provide the desired performance efficiently if intelligently managed. Choosing the most efficient architecture configuration is however a complex issue and depends on multiple factors. We believe that the way the behavior of the workload is modeled is of paramount importance when estimating the efficiency of any proposed architecture for future mobile terminals. Therefore, a deterministic and simple workload description is needed. In this paper, we show how such a multiprogrammed workload is created and used for energy and performance estimation of an adaptive chip-multiprocessor (CMP) architecture.

Place, publisher, year, edition, pages
IEEE , 2004. 3449-3456 p.
Keyword [en]
Analytical models, Distributed processing, Hardware, Information technology, Manufacturing, Microelectronics, Operating systems, Telecommunication traffic, Token networks, Traffic control
National Category
Computer Engineering
URN: urn:nbn:se:kth:diva-89626DOI: 10.1109/IPDPS.2004.1303313ScopusID: 2-s2.0-12444304234ISBN: 0-7695-2132-0OAI: diva2:503177
18th International Parallel and Distributed Processing Symposium, IPDPS 2004, 26-30 April 2004, Santa Fe, NM, United States

QC 20120217

Available from: 2012-02-17 Created: 2012-02-15 Last updated: 2014-12-15Bibliographically approved

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