DocumentCode
2324899
Title
A novel leakage-estimation method for input-vector control
Author
Keil, Hans-Peter ; Momeni, Massoud ; Guntoro, Andre ; Ortiz, Alberto García ; Glesner, Manfred
Author_Institution
Inst. of Microelectron. Syst., Tech. Univ. Darmstadt, Darmstadt
fYear
2008
fDate
Nov. 30 2008-Dec. 3 2008
Firstpage
570
Lastpage
573
Abstract
Input-vector control (IVC) can be used to reduce the static power dissipation of circuits or subcircuits that are idle. In actual microprocessors, many functional units are included multiple times and not in use continuously (e.g. multiplier, ALU) dissipating static and dynamic power. As the static power dissipation depends on the actual input state, IVC can be used to apply the optimal input vector (IV) that causes the lowest static power dissipation in case the unit under consideration is idle. In order to find the optimal input vector, time-consuming simulations for all possible input vectors are inappropriate for actual circuits with data-width of more than 32 bit. Statistical approaches only include a subset of all possible input vectors and are able to finish in acceptable time, but may miss the optimal input vector. In this paper, we introduce a method that qualitatively estimates the static power dissipation in a very fast way such that all possible input vectors are taken into account without requiring time-consuming computations. The Method has been validated experimentally using a 90 nm technologies.
Keywords
leakage currents; microprocessor chips; input-vector control; leakage-estimation method; microprocessors; static power dissipation; Analytical models; Arithmetic; Circuit simulation; Control systems; Energy consumption; Microelectronics; Microprocessors; Power dissipation; SPICE; Subthreshold current;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location
Macao
Print_ISBN
978-1-4244-2341-5
Electronic_ISBN
978-1-4244-2342-2
Type
conf
DOI
10.1109/APCCAS.2008.4746087
Filename
4746087
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