Battery-Aware Code Partitioning for a Text to Speech System

Provided by: edaa
Topic: Hardware
Format: PDF
Applications, which were traditionally run on desktop computers, now need to be ported on low power handheld devices. 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.

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