Battery-aware code partitioning for a text to speech system

  • Authors:
  • Anirban Lahiri;Anupam Basu;Monojit Choudhury;Srobona Mitra

  • Affiliations:
  • Indian Institute of Technology, Kharagpur, India;Indian Institute of Technology, Kharagpur, India;Indian Institute of Technology, Kharagpur, India;Indian Institute of Technology, Kharagpur, India

  • Venue:
  • Proceedings of the conference on Design, automation and test in Europe: Proceedings
  • Year:
  • 2006

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Abstract

The advent of multi-core embedded processors has brought along new challenges for embedded system design. This paper presents an efficient, battery aware, code partitioning technique for a text to speech system, which is executed on a multi-core embedded processor. The system achieves significant performance improvements both in terms of execution time as well as battery lifetimes. The mentioned technique provides a new paradigm for battery aware embedded system design which can be easily extended to other applications.