[{"type":"paper-conference","title":"Energy Efficient Frequency Scaling and Scheduling for Malleable Tasks","issued":{"date-parts":[["2012"]]},"page":"167\u2013178","container-title":"Euro-Par 2012 Parallel Processing. 18th International Conference, Euro-Par 2012, Rhodes Island, Greece, August 27-31, 2012. Proceedings. Ed.: C. Kaklamanis","DOI":"10.1007\/978-3-642-32820-6_18","author":[{"family":"Sanders","given":"Peter"},{"family":"Speck","given":"Jochen"}],"publisher":"Springer","publisher-place":"Berlin","ISBN":"978-3-642-32820-6","ISSN":"0302-9743, 1611-3349","collection-title":"Lecture Notes in Computer Science","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.","kit-publication-id":"1000097638"}]