DocumentCode
1618164
Title
Low power synthesis based on information theoretic measures
Author
Fomina, E. ; Keevallik, A. ; Sudnitson, A.
Author_Institution
Dept. of Comput. Eng., Tallinn Tech. Univ., Estonia
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
699
Lastpage
702
Abstract
The synthesis of circuits with reduced power consumption has grown more and more important over the last years. In this paper, we address the problem of reduction of power dissipation using dynamic power management techniques. The problem of low power synthesis corresponds to an optimal decomposition of a finite state machine reduced to choice of partitions on the set of states of prototype machine. For evaluation of the networks, the informational modeling based on entropy measure is considered. It enables one to enhance the decomposition partition search for low power synthesis
Keywords
entropy; finite state machines; high level synthesis; logic partitioning; low-power electronics; decomposition partition search; dynamic power management techniques; entropy measure; finite state machine; high-level synthesis; information theoretic measures; informational modeling; low power synthesis; optimal decomposition; partitions; power dissipation; Automata; Circuit synthesis; Energy consumption; Energy management; Entropy; High level synthesis; Network synthesis; Power dissipation; Power measurement; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Microelectronics, 2002. MIEL 2002. 23rd International Conference on
Conference_Location
Nis
Print_ISBN
0-7803-7235-2
Type
conf
DOI
10.1109/MIEL.2002.1003354
Filename
1003354
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