Drechsler / Große Recent Findings in Boolean Techniques

Selected Papers from the 14th International Workshop on Boolean Problems
1. Auflage 2021
ISBN: 978-3-030-68071-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 197 Seiten, eBook

This book describes recent findings in the domain of Boolean logic and Boolean algebra, covering application domains in circuit and system design, but also basic research in mathematics and theoretical computer science. Content includes invited chapters and a selection of the best papers presented at the 14 th annual International Workshop on Boolean Problems.

Zielgruppe

Research

Autoren/Hrsg.

Drechsler, Rolf

Große, Daniel

Inhaltsverzeichnis

Formal Verification of Integer Multiplier Circuits using Algebraic Reasoning - A Survey.-The Vital Role of Machine Learning in Developing Emerging Technologies.-Fast Optimal Synthesis of Symmetric Index Generation Functions.-Axiomatizing Boolean Differentiation.-Construction of Binary Bent Functions by FFT-like Permutation Algorithms.-Nonlinear codes for test patterns compression: the old school way.-Translation Techniques for Reversible Circuit Synthesis with Positive and Negative Controls.-Hybrid Control of Toffoli and Peres Gates.-GenMul: Generating Architecturally Complex Multipliers to Challenge Formal Verification Tools.

Über Autor(innen)

Rolf Drechsler (http://www.rolfdrechsler.de/) received the Diploma and Dr. phil. nat. degrees in computer science from the Johann Wolfgang Goethe University in Frankfurt am Main, Germany, in 1992 and 1995, respectively. He worked at the Institute of Computer Science, Albert-Ludwigs University, Freiburg im Breisgau, Germany, from 1995 to 2000, and at the Corporate Technology Department, Siemens AG, Munich, Germany, from 2000 to 2001. Since October 2001, Rolf Drechsler is Full Professor and Head of the Group of Computer Architecture, Institute of Computer Science, at the University of Bremen, Germany. In 2011, he additionally became the Director of the Cyber-Physical Systems Group at the German Research Center for Artificial Intelligence (DFKI) in Bremen. His current research interests include the development and design of data structures and algorithms with a focus on circuit and system design. He is an IEEE Fellow. Daniel Große received the Dr.-Ing. degree in computer science from the University of Bremen in 2008. He remained as a Post-Doctoral Researcher with the Group of Computer Architecture, University of Bremen. In 2010, he was a substitute Professor for computer architecture with Albert-Ludwigs University, Freiburg im Breisgau, Germany. From 2013 to 2014, he was the CEO of the EDA start-up solvertec focusing on automated debugging techniques. Since 2015, he has been a Senior Researcher with the University of Bremen and at the German Research Center for Artificial Intelligence (DFKI), and also the Scientific Coordinator of the Graduate School of System Design, funded within the German Excellence Initiative. Since July 2020, he is a full professor at the Johannes Kepler University Linz, Austria, where he is the head of the Institute for Complex Systems. His current research interests include verification, virtual prototyping, debugging, and synthesis. He published over 140 papers in peer-reviewed journals and conferences in the above areas. Dr. Großeserved in program committees of numerous conferences, including ASP-DAC, DAC, DATE, ICCAD, CODES+ISSS, FDL, and MEMOCODE. He received best paper awards at FDL 2007, DVCon Europe 2018, ICCAD 2018, and FDL 2020. He is an IEEE Senior Member.