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In this paper, we propose a proactive dynamic thermal management scheme for chip multiprocessors that run multi-threaded workloads. We introduce a new predictor that utilizes the band-limited property of the temperature frequency spectrum. A big advantage of our predictor is that it does not require the costly training phase like ARMA . Our thermal management scheme incorporates temperature prediction information and runtime workload characterization to perform efficient thermally awaredoi:10.1145/1594233.1594256 dblp:conf/islped/AyoubR09 fatcat:spqdafsufnfvlcbiyzzlneau3e