By Sunil P. Khatri, Kanupriya Gulati (auth.), Kanupriya Gulati (eds.)
Advanced strategies in common sense Synthesis, Optimizations and functions Edited via: Sunil P Khatri Kanupriya Gulati This publication covers contemporary advances within the box of common sense synthesis and layout, together with Boolean Matching, common sense Decomposition, Boolean satisfiability, complex Synthesis innovations and functions of good judgment layout. All of those themes are beneficial to CAD engineers operating in good judgment layout, good judgment Optimization, and Verification. Engineers looking possibilities for optimizing VLSI built-in circuits will locate this e-book as a useful reference, considering that there isn't any current e-book that covers this fabric in a scientific type. •Covers the newest study within the components of Boolean Matching, good judgment Decomposition, Boolean Satisfiability •Serves as a single-source connection with key subject matters in good judgment synthesis, another way in simple terms to be had in disparate guides; •Describes quite a number synthesis innovations and functions of good judgment design.
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Additional resources for Advanced Techniques in Logic Synthesis, Optimizations and Applications
To overcome limitations of explicit techniques authors in  proposed solution that uses a satisfiability solver . Their approach is based on proving that a problem instance is unsatisfied. The unsatisfiable core is then used to greedily select partition of variables that induces bi-decomposition. Authors demonstrate the approach to be efficient in runtime, when determining existence of non-trivial decomposition. The experimental results on a selected benchmark set, however, are primarily focused on the existence of decomposition and do not offer a qualitative synthesis data.
5. 6. 7 gives concluding remarks and possible directions for future work. 2 Preliminary Constructs Basic constructs used by synthesis algorithms of the chapter are introduced in this section. 1 “Less-Than-or-Equal” Relation Computational forms constructed in this chapter rely on the partial order relation between Boolean functions. Given functions f (x) and g(x), f (x) ≤ g(x) indicates that f (x) precedes g(x) in the order. This “less-than-or-equal” relation (≤) between the two functions can be expressed by one of the following three equivalent forms: [ f (x) ⇒ g(x)] ≡ [ f (x) ≤ g(x)] ≡ [ f (x) + g(x) = 1] The relation imposes consistency constraint on constructed computational forms.
2 has minimal SOP form x 1 x 2 x 3 + x1 x2 x 3 + x 3 x4 + x 2 x3 x 4 , while its corresponding optimal P-circuit is (x 1 ⊕ x2 )x 3 + x 3 x4 + x 2 x3 x 4 . Fig. 3 P-circuit (left) and P-circuit with intersection (right) The number of logic levels in a P-circuit varies from four to five: it is equal to four when the SOP for p consists in just one product and it is equal to five otherwise. If we consider now the power consumption, we can observe in Fig. , the variable with the highest switching frequency, is connected near the output of the overall logic network, thus triggering a sequence of switching events only for the last four gates.
Advanced Techniques in Logic Synthesis, Optimizations and Applications by Sunil P. Khatri, Kanupriya Gulati (auth.), Kanupriya Gulati (eds.)