From Parallel to Emergent Computing

Modern computing relies on future and emergent technologies which have been conceived via interaction between computer science, engineering, chemistry, physics and biology. This highly interdisciplinary book presents advances in the fields of parallel, distributed and emergent information processing and computation. The book represents major breakthroughs in parallel quantum protocols, elastic cloud servers, structural properties of interconnection networks, internet of things, morphogenetic collective systems, swarm intelligence and cellular automata, unconventionality in parallel computation, algorithmic information dynamics, localized DNA computation, graph-based cryptography, slime mold inspired nano-electronics and cytoskeleton computers.

Features

Truly interdisciplinary, spanning computer science, electronics, mathematics and biology

• Covers widely popular topics of future and emergent computing technologies, cloud computing, parallel computing, DNA computation, security and network analysis, cryptography, and theoretical computer science
• Provides unique chapters written by top experts in theoretical and applied computer science, information processing and engineering

From Parallel to Emergent Computing provides a visionary statement on how computing will advance in the next 25 years and what new fields of science will be involved in computing engineering. This book is a valuable resource for computer scientists working today, and in years to come.

Andrew Adamatzky is Professor of Unconventional Computing and Director of the

Unconventional Computing Laboratory, Department of Computer Science, University of the West of England, Bristol, United Kingdom. He does research in molecular computing, reaction-diffusion computing, collision-based computing, cellular automata,slime mould computing, massive parallel computation, applied mathematics, complexity,nature-inspired optimisation, collective intelligence and robotics, bionics, computational psychology, non-linear science, novel hardware, and future and emergent computation. He authored seven books, including Reaction-Diffusion Computers (Elsevier, 2005), Dynamics of Crowd-Minds (World Scientific, 2005), and Physarum Machines (World Scientific, 2010), and edited 22 books in computing, including Collision Based Computing (Springer, 2002), Game of Life Cellular Automata (Springer, 2010), and Memristor Networks (Springer, 2014); he also produced a series of influential artworks published in the atlas Silence of Slime Mould (Luniver Press, 2014). He is founding editor-in-chief of the Journal of Cellular Automata (2005-) and the Journal of Unconventional Computing (2005-) and editor-in-chief of the Journal of Parallel,  Emergent, Distributed Systems (2014-) and Parallel Processing Letters (2018-).

Selim G. Akl (Ph.D., McGill University, 1978) is a Professor at Queen's University in the Queen's School of Computing, where he leads the Parallel and Unconventional Computation Group. His research interests are primarily in the area of algorithm design and analysis, in particular for problems in parallel computing and unconventional computing. Dr. Akl is the author of Parallel Sorting Algorithms (Academic Press,1985), The Design and Analysis of Parallel Algorithms (Prentice Hall, 1989), and Parallel Computation: Models and Methods (Prentice Hall, 1997). He is co-author of Parallel Computational Geometry (Prentice Hall, 1993), Adaptive Cryptographic Access Control (Springer, 2010), and Applications of Quantum Cryptography (Lambert, 2016). Georgios Ch. Sirakoulis is a Professor in Department of Electrical and Computer Engineering at Democritus University of Thrace, Greece. His current research emphasis is on complex electronic systems, future and emergent electronic devices, circuits, models and architectures (memristors, quantum cellular automata, etc.), novel computing devices and circuits, cellular automata, unconventional computing, high-performance computing, cyber-physical and embedded systems, bioinspired computation and bioengineering, FPGAs, modelling, and simulation. He co-authored two books, namely Memristor-Based Nanoelectronic Computing Circuits and Architectures (Springer, 2016) and Artificial Intelligence and Applications (Krikos Publishing, 2010) and coedited three books.