Low Power ALU Design By Ancient Mathematics

ABSTRACT:

The ever increasing demand in enhancing the ability of processors to handle the complex and difficult processes has resulted in the mixing of a number of processor cores into one chip. Still the load on the processor isn't less in generic system. This load is reduced by supplementing the most processor with Co-Processors, which are designed to figure upon specific type of functions like numeric computation, Signal Processing, Graphics etc. The speed of ALU depends greatly on the multiplier Vedic Mathematics is the traditional system of mathematics which encompasses a unique technique of calculations primarily based on 16 Sutras. Employing these techniques in the computation algorithms of the coprocessor can scale back the complexity, execution time, area, power etc. The ever increasing demand in enhancing the flexibility of processors to handle the complicated and challenging processes has resulted in the integration of a range of processor cores into one chip. Still the load on the processor isn't less in generic system. This load is reduced by supplementing the main processor with Co- Processors, which are designed to figure upon specific sort of functions like numeric computation, Signal Processing, Graphics etc. The speed of ALU depends greatly on the multiplier Vedic Mathematics is the ancient system of mathematics that encompasses a unique technique of calculations primarily based on sixteen Sutras. Employing these techniques within the computation algorithms of the coprocessor can scale back the complexity, execution time, area, power etc.

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