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New Data Structures and Algorithms for Logic Synthesis and Verification
Details
This book introduces new logic primitives for electronic design automation tools. The author approaches fundamental EDA problems from a different, unconventional perspective, in order to demonstrate the key role of rethinking EDA solutions in overcoming technological limitations of present and future technologies. The author discusses techniques that improve the efficiency of logic representation, manipulation and optimization tasks by taking advantage of majority and biconditional logic primitives. Readers will be enabled to accelerate formal methods by studying core properties of logic circuits and developing new frameworks for logic reasoning engines.
Provides a comprehensive, theoretical study on majority and biconditional logic for logic synthesis Updates the current scenario in synthesis and verification especially in light of emerging technologies Demonstrates applications to CMOS technology and emerging technologies Includes supplementary material: sn.pub/extras
Autorentext
Luca Gaetano Amaru is a Senior II, R&D Engineer at Synopsys Inc., Mountain View, CA. Formerly, he was a research assistant and PhD student in Computer Science at EPFL, Integrated Systems Laboratory, Lausanne, Switzerland, where he worked on new data structures and algorithms for logic synthesis and verification, under the direction of Prof. De Micheli, Dr. Gaillardon and Prof. Burg. He received his Bachelor's Degree in Electronic Engineering, with honors, from Politecnico di Torino, Italy, in 2009. In 2011 he received his double Master's Degree in Electronic Engineering, with honors, from Politecnico di Torino, Italy, and Politecnico di Milano, Italy. In 2014, he was a visiting researcher at Stanford University, Palo Alto, CA, USA.
Inhalt
Introduction.- Part 1. Logic Representation, Manipulation and Optimization.- Biconditional Logic.- Majority Logic.- Part 2. Logic Satisfiability and Equivalence Checking.- Exploiting Logic Properties to Speedup SAT.- Majority Normal Form Representation and Satisfiability.- Improvements to the Equivalence Checking of Reversible Circuits.- Conclusions.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319431734
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Auflage 1st edition 2017
- Sprache Englisch
- Anzahl Seiten 172
- Herausgeber Springer International Publishing
- Größe H241mm x B160mm x T16mm
- Jahr 2016
- EAN 9783319431734
- Format Fester Einband
- ISBN 3319431730
- Veröffentlichung 11.08.2016
- Titel New Data Structures and Algorithms for Logic Synthesis and Verification
- Autor Luca Gaetano Amaru
- Gewicht 430g