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
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Microelectronics, 2002. MIEL 2002. 23rd International Conference on
Conference_Location :
Nis
Print_ISBN :
0-7803-7235-2
DOI :
10.1109/MIEL.2002.1003354