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Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks - Texts in Theoretical Computer Science: an Eatcs Series Max H. Garzon Softcover Reprint of the Original 1st Ed. 1995 edition
Models of Massive Parallelism: Analysis of Cellular Automata and Neural Networks - Texts in Theoretical Computer Science: an Eatcs Series
Max H. Garzon
This textbook provides an introduction to the fundamental models of massively parallel computation, the most important technique for high-performance computing. It presents a coherent exposition of analytic methods and results for the exploration and understanding of cellular automata and discrete neural networks as computational and dynamical systems.
The book will be useful also as a reference manual to the scattered literature in the field. Each chapter includes a separate bibliography, as well as pointers to historically relevant papers, and gives exercise problems for the reader.
292 pages, 10 black & white tables, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 12, 2012 |
| ISBN13 | 9783642779077 |
| Publishers | Springer-Verlag Berlin and Heidelberg Gm |
| Pages | 292 |
| Dimensions | 156 × 234 × 15 mm · 412 g |
| Language | English |