DocumentCode
454419
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
Volume
1
fYear
2006
fDate
6-10 March 2006
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation and Test in Europe, 2006. DATE '06. Proceedings
Conference_Location
Munich
Print_ISBN
3-9810801-1-4
Type
conf
DOI
10.1109/DATE.2006.244041
Filename
1656972
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