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Future computing clusters will prevalently run parallel workloads to take advantage of the increasing number of cores on chips. In tandem, there is a growing need to reduce energy consumption of computing. One promising method for improving energy efficiency is co-scheduling applications on compute nodes. Efficient consolidation for parallel workloads is a challenging task as a number of factors, such as scalability, interthread communication patterns, or memory access frequency of thedoi:10.1109/date.2012.6176641 dblp:conf/date/HankendiC12 fatcat:ylcdmoh6qjbexdoexd3y723rpu