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Minimizing energy under performance constraints on embedded platforms

2015; Association for Computing Machinery; Volume: 11; Issue: 4 Linguagem: Inglês

10.1145/2724942.2724950

1551-3688

Connor Imes, Henry Hoffmann,

Distributed and Parallel Computing Systems

This paper explores the problem of energy optimization in embedded platforms. Specifically, it studies resource allocation strategies for meeting performance constraints with minimal energy consumption. We present a comparison of solutions for both homogeneous and single-ISA heterogeneous multi-core embedded systems. We demonstrate that different hardware platforms have fundamentally different performance/energy tradeoff spaces. As a result, minimizing energy on these platforms requires substantially different resource allocation strategies. Our investigations reveal that one class of systems requires a race-to-idle heuristic to achieve optimal energy consumption, while another requires a never-idle heuristic to achieve the same. The differences are dramatic: choosing the wrong strategy can increase energy consumption by over 2× compared to optimal.