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Energy Efficient Frequency Scaling and Scheduling for Malleable Tasks

Sanders, Peter; Speck, Jochen

Abstract:
We give an efficient algorithm for solving the following scheduling problem to optimality: Assign n jobs to m processors such that they all meet a common deadline T and energy consumption is minimized by appropriately controlling the clock frequencies of the processors. Jobs are malleable, i.e., their amount of parallelism can be flexibly adapted. In contrast to previous work on energy efficient scheduling we allow more realistic energy consumption functions including a minimum and maximum clock frequency and a linear term in energy consumption. We need certain assumptions on the speedup function of the jobs that we show to apply for a large class of practically occurring functions.



Originalveröffentlichung
DOI: 10.1007/978-3-642-32820-6_18
Scopus
Zitationen: 11
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Proceedingsbeitrag
Jahr 2012
Sprache Englisch
Identifikator ISBN: 978-3-642-32820-6
ISSN: 0302-9743, 1611-3349
KITopen-ID: 1000097638
Erschienen in Euro-Par 2012 Parallel Processing. 18th International Conference, Euro-Par 2012, Rhodes Island, Greece, August 27-31, 2012. Proceedings. Ed.: C. Kaklamanis
Verlag Springer, Berlin
Seiten 167–178
Serie Lecture Notes in Computer Science ; 7484
Nachgewiesen in Scopus
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