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Advanced Techniques in Logic Synthesis, Optimizations and by Sunil P. Khatri, Kanupriya Gulati (auth.), Kanupriya Gulati PDF

By Sunil P. Khatri, Kanupriya Gulati (auth.), Kanupriya Gulati (eds.)

ISBN-10: 1441975179

ISBN-13: 9781441975171

ISBN-10: 1441975187

ISBN-13: 9781441975188

Advanced recommendations in common sense Synthesis, Optimizations and functions Edited via: Sunil P Khatri Kanupriya Gulati This booklet covers fresh advances within the box of common sense synthesis and layout, together with Boolean Matching, good judgment Decomposition, Boolean satisfiability, complicated Synthesis strategies and purposes of good judgment layout. All of those subject matters are beneficial to CAD engineers operating in common sense layout, common sense Optimization, and Verification. Engineers looking possibilities for optimizing VLSI built-in circuits will locate this publication as a useful reference, considering the fact that there's no latest e-book that covers this fabric in a scientific style. •Covers the most recent examine within the parts of Boolean Matching, good judgment Decomposition, Boolean Satisfiability •Serves as a single-source connection with key subject matters in good judgment synthesis, differently simply to be had in disparate courses; •Describes a number synthesis suggestions and functions of common sense design.

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The ability of binary decision diagrams to represent compactly certain exponentially large combinatorial sets helps us to implicitly enumerate and explore variety of decomposition choices improving quality of synthesized circuits. Benefits of the symbolic technique are demonstrated in sequential synthesis of publicly available benchmarks as well as on the realistic industrial designs. 1 Introduction and Motivation Due to recent advances in verification technology [2] circuit synthesis of semiconductor designs no longer has to be limited to logic optimization of combinational blocks.

9) We compare implicit computation of decomposition choices to a greedy algorithm for the XOR decomposition, used by authors in [17, 22]. Starting from a seed partition, the algorithm greedily extends support subsets calling XOR decomposabil- 3 Sequential Logic Synthesis Using Symbolic Bi-decomposition 39 ity check in its inner loop. Although efficient in general, the check has potentially formidable runtime. The profile of its behavior on a 16-bit adder is given in the table below; it is compared against our implicit computation: Output Time(s) Sum bit No.

Have exactly i decision variables set to 1). For a given n = |c| it represents combinatorial subsets ni . This function has compact representation in terms of BDDs. Given a desired support size k1 = |x1 | of g1 , and of k2 = |x2 | of g2 , existence of the decomposition is determined constraining Bi with its corresponding solution space: 3 Sequential Logic Synthesis Using Symbolic Bi-decomposition 41 Bi(c1 , c2 ) · wk1 (c1 ) · wk2 (c2 ) If the resulting function is not empty, then the desired decomposition exists.

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Advanced Techniques in Logic Synthesis, Optimizations and Applications by Sunil P. Khatri, Kanupriya Gulati (auth.), Kanupriya Gulati (eds.)


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