Abstract
Tuning cache architectures in platforms for embedded applications can dramatically reduce energy consumption. This paper presents an optimization mechanism based on the Design of Experiments (DoE) for adjusting two-level cache memory hierarchies in order to reduce the energy consumption of embedded applications. DoE is a technique used to plan experiments and in this work it was adapted for the architecture exploration problem. Preliminary results for 6 applications from the Mibench benchmark suite show an average reduction of about 6% in the energy consumption for data caches, and it has shown itself to be simpler and with lower computational cost, when compared to existing heuristics.
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