Title: Energy efficiency of heterogeneous multicore system based on the enhanced Amdahl's law

Authors: Songwen Pei; Junge Zhang; Naixue Xiong; Myoung-Seo Kim; Jean-Luc Gaudiot

Addresses: Shanghai Key Lab of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, 200093, China ' Shanghai Key Lab of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, 200093, China ' Shanghai Key Lab of Modern Optical Systems, University of Shanghai for Science and Technology, Shanghai, 200093, China ' Parallel Systems and Computer Architecture Lab, University of California, Irvine, CA 92697, USA ' Parallel Systems and Computer Architecture Lab, University of California, Irvine, CA 92697, USA

Abstract: Energy efficiency is one of the biggest challenges of designing future heterogeneous multicore system, beyond performance, hereby, we propose an energy efficiency analytical model for heterogeneous multicore system based on the enhanced Amdahl's law. The model extends the traditional computing-centric model by considering the overhead of data preparation which potentially includes the overhead of communication, data transfer, synchronisation, etc. The analysis clearly shows that decreasing the overhead of data preparation is a promising approach to reach higher performance of computation and greater energy efficiency. Therefore, more informed trade-offs should be taken when we design a modern heterogeneous processor system within limited budget of energy.

Keywords: energy efficiency; overhead of data preparation; ODP; dataflow computing model; performance evaluation; heterogeneous multicore system.

DOI: 10.1504/IJHPCN.2018.094944

International Journal of High Performance Computing and Networking, 2018 Vol.12 No.3, pp.261 - 269

Available online: 25 Sep 2018 *

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