R. Fujimoto, M. Hunter, A. Biswas, Mark Jackson, Sabra A. Neal
{"title":"Power Efficient Distributed Simulation","authors":"R. Fujimoto, M. Hunter, A. Biswas, Mark Jackson, Sabra A. Neal","doi":"10.1145/3064911.3069397","DOIUrl":null,"url":null,"abstract":"Energy and power consumption have become important concerns for many computing systems ranging from embedded and mobile systems operating on battery-powered devices to high performance and cloud computing applications running on supercomputers and in data centers. To date, only a limited amount of work has considered power consumption in parallel and distributed simulations. A variety of options to analyze and explore power consumption in distributed simulations are discussed. These options range from design decisions in developing the simulation model to selection of algorithms in distributed simulation middleware to exploitation of hardware techniques. Work to characterize the power and energy consumed by different elements of parallel and distributed simulation systems are discussed and empirical measurements presented to quantify energy and power use, suggestive of directions for future research in this area.","PeriodicalId":341026,"journal":{"name":"Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3064911.3069397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Energy and power consumption have become important concerns for many computing systems ranging from embedded and mobile systems operating on battery-powered devices to high performance and cloud computing applications running on supercomputers and in data centers. To date, only a limited amount of work has considered power consumption in parallel and distributed simulations. A variety of options to analyze and explore power consumption in distributed simulations are discussed. These options range from design decisions in developing the simulation model to selection of algorithms in distributed simulation middleware to exploitation of hardware techniques. Work to characterize the power and energy consumed by different elements of parallel and distributed simulation systems are discussed and empirical measurements presented to quantify energy and power use, suggestive of directions for future research in this area.