DocumentCode :
2011857
Title :
Reducing power consumption of dedicated processors through instruction set encoding
Author :
Benini, Luca ; De Micheli, Giovanni ; Macii, Alberto ; Macii, Enrico ; Poncino, Massimo
Author_Institution :
Comput. Syst. Lab., Stanford Univ., CA, USA
fYear :
1998
fDate :
19-21 Feb 1998
Firstpage :
8
Lastpage :
12
Abstract :
With the increased clock frequency of modern, high-performance processors (over 500 MHz, in some cases), limiting the power dissipation has become the most stringent design target. It is thus mandatory for processor engineers to resort to a large variety of optimization techniques to reduce the power requirements in the hot zones of the chip. In this paper, we focus on the power dissipated By the instruction fetch and decode logic, a portion of the processor architecture where a lot of capacitance switching normally takes place. We propose a methodology for determining an encoding of the instruction set that guarantees the minimization of the number of bit transitions occurring inside the registers of the pipeline stages involved in instruction fetching and decoding. The assignment of the binary patterns to the op-codes is driven by the statistics concerning instruction adjacency collected through instruction-level simulation of typical software applications; therefore, the technique is best exploited when applied to encode the instruction set of core processors and microcontrollers, since components of these types ore commonly used to execute fixed portions of machine code within embedded systems. We illustrate the effectiveness of the methodology through the experimental data we have obtained on an existing microprocessor
Keywords :
circuit optimisation; instruction sets; microprocessor chips; pipeline processing; real-time systems; binary patterns; capacitance switching; clock frequency; dedicated processors; embedded systems; hot zones; instruction decode logic; instruction fetch logic; instruction set encoding; optimization techniques; pipeline stages; power consumption; power dissipation; Capacitance; Clocks; Decoding; Encoding; Energy consumption; Frequency; Logic; Minimization methods; Power dissipation; Power engineering and energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
VLSI, 1998. Proceedings of the 8th Great Lakes Symposium on
Conference_Location :
Lafayette, LA
ISSN :
1066-1395
Print_ISBN :
0-8186-8409-7
Type :
conf
DOI :
10.1109/GLSV.1998.665191
Filename :
665191
Link To Document :
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