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Synthesising Energy-Efficient Embedded Systems with LOPOCOS

Schmitz, Marcus T., Al-Hashimi, Bashir M. and Eles, Petru (2002) Synthesising Energy-Efficient Embedded Systems with LOPOCOS

Record type: Other

Abstract

In this paper, we introduce the LOPOCOS (Low Power Co-synthesis) system, a prototype CAD tool for system level co-design. LOPOCOS targets the design of energy-efficient embedded systems, implemented as heterogeneous distributed architectures. In particular, it is designed to solve the specific problems involved in architectures that include dynamic voltage scalable (DVS) processors. The aim of this paper is to demonstrate how LOPOCOS can support the system designer in identifying energy-efficient hardware/software implementations for the desired embedded systems. Hence, highlighting the necessary optimisation steps during design space exploration for DVS enable architectures. The optimisation steps carried out in LOPOCOS involve component allocation and task/communication mapping as well as scheduling and dynamic voltage scaling. LOPOCOS has the following key features, which contribute to this energy efficiency. During the voltage scaling valuable power profile information of task execution is taken into account, hence, the accuracy of the energy estimation is improved. A combined optimisation for scheduling and communication mapping based on genetic algorithm, optimises simultaneously execution order and communication mapping towards the utilisation of the DVS processors and timing behaviour. Furthermore, a separation of task and communication mapping allows a more effective implementation of both task and communication mapping optimisation steps. Extensive experiments are conducted to demonstrate the efficiency of LOPOCOS. We report up to 38% higher energy reductions compared to previous co-synthesis techniques for DVS systems. The investigations include a real-life example of an optical flow detection algorithm.

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More information

Published date: 2002
Additional Information: accepted for publication in DAES.
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 256348
URI: http://eprints.soton.ac.uk/id/eprint/256348
PURE UUID: 2b866cf0-ca49-46e1-b455-01e3fc2e0b19

Catalogue record

Date deposited: 25 Feb 2002
Last modified: 18 Jul 2017 09:47

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Contributors

Author: Marcus T. Schmitz
Author: Petru Eles

University divisions

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