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portada The Zen of Exotic Computing (en Inglés)
Formato
Libro Físico
Año
2023
Idioma
Inglés
N° páginas
386
Encuadernación
Tapa Blanda
ISBN13
9781611977288

The Zen of Exotic Computing (en Inglés)

Peter M. Kogge (Autor) · SIAM - Society for Industrial and Applied Mathematics · Tapa Blanda

The Zen of Exotic Computing (en Inglés) - Peter M. Kogge

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Reseña del libro "The Zen of Exotic Computing (en Inglés)"

The Turing/von Neumann model of computing is dominant today but is by no means the only one. This textbook explores an important subset of alternatives, including those such as quantum and neuromorphic, which receive daily news attention.

The Turing/von Neumann model of computing is dominant today but is by no means the only one. This textbook explores an important subset of alternatives, including those such as quantum and neuromorphic, which receive daily news attention. The models are organized into distinct groups. After a review of the Turing/von Neumann model to set the stage, the author discusses those that have their roots in the Turing/von Neumann model but perform potentially large numbers of computations in parallel; models that do away with the preplanned nature of the classical model and compute from just a statement of the problem; others that are simply mathematically different, such as probabilistic and reversible computation; models based on physical phenomena such as neurons; and finally those that leverage unique physical phenomena directly, such as quantum, optical, and DNA-based computing.

Suggested readings provide a jumping-off point for deeper learning. A supplemental website contains chapters that did not make it into the book, as well as exercises, projects, and additional resources that will be useful for more in-depth investigations.

The Zen of Exotic Computing is intended for computer science students interested in understanding alternative models of computing. It will also be of interest to researchers and practitioners interested in emerging technology such as quantum computing, machine learning, and AI.

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