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In this paper we focus on dynamic thermal management(DTM) strategies that use dynamic voltage scaling (DVS)for power control. We perform a theoretical analysis targeted atestimating the optimal strategy, and show two facts: (1) whenthere is a gap between the initial and the limit temperatures,it is best to start with a high (though not necessarily maximal)frequency and decrease it exponentially until the limit temperatureis reached; (2) when being close to the limit temperature,the best strategy is to stay there. We use the patterns exhibitedby the optimal strategy in order to analyze some existing DTMtechniques.
DTM, DVS, optimal control
Finkelstein Finkelstein, Ronny Ronen, Aviad Cohen, Avi Mendelson, Dmitry Rudoy, "On Estimating Optimal Performance of CPU Dynamic Thermal Management", IEEE Computer Architecture Letters, vol. 2, no. , pp. 6, January-December 2003, doi:10.1109/L-CA.2003.5
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