Logic Synthesis and Verification Algorithms

Logic Synthesis and Verification Algorithms is a textbook designed for courses on VLSI Logic Synthesis and Verification, Design Automation, CAD and advanced level discrete mathematics. It also serves as a basic reference work in design automation for both professionals and students. Logic Synthesis and Verification Algorithms is about the theoretical underpinnings of VLSI (Very Large Scale Integrated Circuits). It combines and integrates modern developments in logic synthesis and formal verification with the more traditional matter of Switching and Finite Automata Theory. The book also provides background material on Boolean algebra and discrete mathematics. A unique feature of this text is the large collection of solved problems. Throughout the text the algorithms covered are the subject of one or more problems based on the use of available synthesis programs. Logic Synthesis and Verification Algorithms blends mathematical foundations and algorithmic developments with circuit design issues. Each new technique is presented in the context of its application to design. Through the study of optimal two-level and multilevel combinational circuit design, the reader is introduced to basic concepts, such as Boolean algebra, local search, and algebraic factorization. Similarly, through the study of optimal sequential circuit design, the reader is introduced to graph algorithms, finite state systems, and language theory. Throughout the book, recurrent themes such as branch and bound, dynamic programming, and symbolic implicit enumeration are used to establish optimal design principles. Circuit designers and CAD tool developers alike will find Logic Synthesis and Verification Algorithms useful as an introductory and reference text. The rich collection of examples and solved problems make this book ideal for self study. Because of its careful balance of theory and application, Logic Synthesis and Verification Algorithms will serve well as a textbook for upper division and first year graduate students in electrical and computer engineering.