7
IRUS TotalDownloads
Altmetric
Foundations of reversible computation
File | Description | Size | Format | |
---|---|---|---|---|
2020_Book_ReversibleComputationExtending.pdf | Published version | 14.65 MB | Adobe PDF | View/Open |
Title: | Foundations of reversible computation |
Authors: | Aman, B Ciobanu, G Glück, R Kaarsgaard, R Kari, J Kutrib, M Lanese, I Mezzina, CA Mikulski, Ł Nagarajan, R Phillips, I Pinna, GM Prigioniero, L Ulidowski, I Vidal, G |
Item Type: | Chapter |
Abstract: | Reversible computation allows computation to proceed not only in the standard, forward direction, but also backward, recovering past states. While reversible computation has attracted interest for its multiple applications, covering areas as different as low-power computing, simulation, robotics and debugging, such applications need to be supported by a clear understanding of the foundations of reversible computation. We report below on many threads of research in the area of foundations of reversible computing, giving particular emphasis to the results obtained in the framework of the European COST Action IC1405, entitled “Reversible Computation - Extending Horizons of Computing”, which took place in the years 2015–2019. |
Editors: | Ulidowski, I Lanese, I Schultz, UP Ferreira, C |
Issue Date: | 12-May-2020 |
URI: | http://hdl.handle.net/10044/1/78728 |
DOI: | 10.1007/978-3-030-47361-7_1 |
Publisher: | Springer Verlag |
Start Page: | 1 |
End Page: | 40 |
Journal / Book Title: | Reversible Computation: Extending Horizons of Computing |
Copyright Statement: | © The Editor(s) (if applicable) and The Author(s) 2020. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. |
Keywords: | Artificial Intelligence & Image Processing |
Publication Status: | Published |
Online Publication Date: | 2020-05-12 |
Appears in Collections: | Computing Faculty of Engineering |
This item is licensed under a Creative Commons License