Title :
Battery-aware Code Partitioning for a Text to Speech System
Author :
Lahiri, Anirban ; Basu, Anupam ; Choudhury, Monojit ; Mitra, Srobona
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur
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
Keywords :
embedded systems; integrated circuit design; low-power electronics; microprocessor chips; battery aware embedded system design; battery lifetimes; code partitioning; execution time; multicore embedded processors; text to speech system; Application software; Batteries; Delay; Digital signal processing; Embedded system; Engines; Handheld computers; Power system modeling; Speech synthesis; Timing;
Conference_Titel :
Design, Automation and Test in Europe, 2006. DATE '06. Proceedings
Conference_Location :
Munich
Print_ISBN :
3-9810801-1-4
DOI :
10.1109/DATE.2006.244041
