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Area and power efficient register allocation technique for the implementation of PCA

机译:实施PCA的面积和省电寄存器分配技术

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This paper presents a novel register allocation technique as well as the conventional technique for the implementation of Principal Component Analysis (PCA) incorporating variable reuse technique. PCA deals with a large dimensional data and is a computationally intensive technique. The purpose of this paper is to avoid register switching and hence reduction in dynamic power consumption as well as area during the implementation of PCA. Syntheses of verilog codes written for both the techniques were carried out in RC (cadence) tool. In case of generic synthesis, a substantial decrease of 56.867% in power and 56.66% in case of area was observed; whereas, in case of mapped synthesis, significant reduction of 86.145% in power and 74.79% in area was observed for the proposed technique in contrast to the conventional one.
机译:本文提出了一种新颖的寄存器分配技术以及结合可变重用技术的用于实现主成分分析(PCA)的常规技术。 PCA处理大维数据,并且是一种计算密集型技术。本文的目的是避免寄存器切换,从而减少PCA实施期间的动态功耗和面积。为这两种技术编写的Verilog代码的合成是在RC(节奏)工具中进行的。在一般合成的情况下,观察到功率大幅降低了56.867%,而在面积方面则降低了56.66%。相反,在作图合成的情况下,与传统技术相比,该技术的功率和面积分别显着减少了86.145%和74.79%。

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