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Chapter

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Title

Divisible Loads Scheduling in Hierarchical Memory Systems with Time and Energy Constraints

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Keywords
EN
  • scheduling
  • divisible loads
  • hierarchical memory
  • energy efficiency
  • performance evaluation
Abstract

EN In this paper we consider scheduling distributed divisible computations in systems with hierarchical memory for energy and time performance criteria. Hierarchical memory allows to conduct computations on big data sets using out-of-core processing instead of coercing application data fit into core storage. However, out-of-core computations are more costly both in time and energy. A model for scheduling divisible loads under time and energy criteria is introduced. Two types of scheduling algorithms are proposed and evaluated: a single-installment algorithm which builds optimum schedules but may use out-of-core storage, and a set of multi-installment algorithms which use limited memory but require more communications.

Pages (from - to)

111 - 120

DOI

10.1007/978-3-319-32152-3_11

URL

https://link.springer.com/chapter/10.1007/978-3-319-32152-3_11

Book

Parallel Processing and Applied Mathematics : 11th International Conference, PPAM 2015, Krakow, Poland, September 6-9, 2015 : Revised Selected Papers, Part II

Presented on

11th International Conference on Parallel Processing and Applied Mathematics, PPAM 2015, 6-9.09.2015, Kraków, Poland

Publication indexed in

WoS (15)

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