NDLI: Efficient and scalable computation of the energy and makespan Pareto front for heterogeneous computing systems

Content Provider	IEEE Xplore Digital Library
Author	Tarplee, K.M. Friese, R. Maciejewski, A.A. Siegel, H.J.
Copyright Year	2013
Description	Author affiliation: Electr. & Comput. Eng. Dept., Colorado State Univ., Fort Collins, CO, USA (Tarplee, K.M.; Friese, R.; Maciejewski, A.A.; Siegel, H.J.)
Abstract	The rising costs and demand of electricity for high-performance computing systems pose difficult challenges to system administrators that are trying to simultaneously reduce operating costs and offer state-of-the-art performance. However, system performance and energy consumption are often conflicting objectives. Algorithms are necessary to help system administrators gain insight into this energy/performance tradeoff. Through the use of intelligent resource allocation techniques, system administrators can examine this tradeoff space to quantify how much a given performance level will cost in electricity, or see what kind of performance can be expected when given an energy budget. A novel algorithm is presented that efficiently computes tight lower bounds and high quality solutions for energy and makespan. These solutions are used to bound the Pareto front to easily trade-off energy and performance. These new algorithms are shown to be highly scalable in terms of solution quality and computation time compared to existing algorithms.
Starting Page	401
Ending Page	408
File Size	219709
Page Count	8
File Format	PDF
ISBN	9788360810521
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Polish Information Processing Society
Subject Keyword	Algorithm design and analysis Schedules Power demand Approximation algorithms Complexity theory Resource management Optimization
Content Type	Text
Resource Type	Article

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