Design of 32 bit Parallel Processor Core for High Energy Efficiency using Instruction-Levels Dynamic Voltage Scaling Technique
Abstract—This paper describes design of high energy efficiency 32 bit parallel processor core using instructtion- levels data gating and dynamic voltage scaling (DVS) techniques. We present instruction-levels data gating technique. We can control activation and switching activity of the function uni...
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Veröffentlicht in: | Journal of semiconductor technology and science 2009, 8(1), , pp.1-7 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Abstract—This paper describes design of high energy
efficiency 32 bit parallel processor core using instructtion-
levels data gating and dynamic voltage scaling
(DVS) techniques. We present instruction-levels data
gating technique. We can control activation and switching
activity of the function units in the proposed
data technique. We present instruction-levels DVS technique
without using DC-DC converter and voltage
scheduler controlled by the operation system. We can
control powers of the function units in the proposed
DVS technique. The proposed instruction-levels DVS
technique has the simple architecture than complicated
DVS which is DC-DC converter and voltage scheduler
controlled by the operation system and a hardware
implementation is very easy. But, the energy
efficiency of the proposed instruction-levels DVS technique
having dual-power supply is similar to the
complicated DVS which is DC-DC converter and
voltage scheduler controlled by the operation system.
We simulate the circuit simulation for running test
program using Spectra. We selected reduced power
supply to 0.667 times of the supplied power supply.
The energy efficiency of the proposed 32 bit parallel
processor core using instruction-levels data gating
and DVS techniques can improve about 88.4% than
that of the 32 bit parallel processor core without using
those. The designed high energy efficiency 32 bit parallel
processor core can utilize as the coprocessor
processing massive data at high speed. KCI Citation Count: 2 |
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ISSN: | 1598-1657 2233-4866 |
DOI: | 10.5573/JSTS.2009.9.1.001 |