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The use of signal representations in...

Yu, Zhan.

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The use of signal representations in synthesis and low-power designs for data-path circuits.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The use of signal representations in synthesis and low-power designs for data-path circuits./
作者:	Yu, Zhan.
面頁冊數:	138 p.
附註:	Chair: Alan N. Willson, Jr.
Contained By:	Dissertation Abstracts International63-01B
標題:	Engineering, Electronics and Electrical -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3040175
ISBN:	0493535462

The use of signal representations in synthesis and low-power designs for data-path circuits.
Yu, Zhan.

The use of signal representations in synthesis and low-power designs for data-path circuits. - 138 p.

Chair: Alan N. Willson, Jr.

Thesis (Ph.D.)--University of California, Los Angeles, 2002.

In digital VLSI circuits, the processed signals are often discrete samples of continuous waveforms. The arithmetic values of these samples are represented by a set binary signals. There are various methods to interpret the arithmetic values from a set binary signal representations; for example, we have the 2's complement signal representation, sign-magnitude signal representation, etc. Other representations having special properties are also possible. In this work, we exploit the use of signal representation properties in the optimization of data-path circuits.

ISBN: 0493535462Subjects--Topical Terms:

1260285
Engineering, Electronics and Electrical

The use of signal representations in synthesis and low-power designs for data-path circuits.
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245 1 0 $a The use of signal representations in synthesis and low-power designs for data-path circuits.
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520 $a In digital VLSI circuits, the processed signals are often discrete samples of continuous waveforms. The arithmetic values of these samples are represented by a set binary signals. There are various methods to interpret the arithmetic values from a set binary signal representations; for example, we have the 2's complement signal representation, sign-magnitude signal representation, etc. Other representations having special properties are also possible. In this work, we exploit the use of signal representation properties in the optimization of data-path circuits.
520 $a For timing and area optimization, we use the signal representation property guide to achieve automatic allocation of carry-save adders in data-path synthesis. The use of carry-save adders has been an efficient scheme to implement high-speed addition operations but it is not well exploited in design automation. Recent efforts on the automatic allocation of carry-save adders are limited to a restricted set of combinatorial arithmetic functions. We enable the automatic allocation of carry-save adders in a large range of synchronous data-path circuits by recognizing and exploiting a signal representation property—the number of binary vectors used to represent a signal. Specifically, we propose: an optimal joint module selection and retiming algorithm with carry-save representation [1]; an arithmetic transformation based algorithm for synchronous data-path synthesis using multiple-vector representation [2]; and a bit-level arithmetic optimization algorithm for synchronous circuits using a relaxed signal representation [3]
520 $a For power optimization, we exploit the signal dynamic range property in digital signal processing (DSP) systems, and seek to reduce dynamic power dissipation by proper choice of signal representation. In DSP applications, many data-path circuits are built with large word-length to prevent overflow. However, when the actual input signal has a small magnitude, less computation power is needed. We exploit the signal representation flexibility to reduce dynamic switching power in these cases. Specifically, we propose a low power carry-save representation [4] and a reduced 2's-complement representation [5] to be applied in different DSP applications
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