Name: Process Algebra for Parallel and Distributed Processing (en Inglés)
Price: 142150.00 CLP
Availability: InStock
Author: Alexander, Michael ; Gardner, William
ISBN: 9781420064865

portada Process Algebra for Parallel and Distributed Processing (en Inglés)

Formato

Libro Físico

Editorial

CRC Press

Autor

Alexander, Michael ; Gardner, William

Idioma

Inglés

N° páginas

438

Encuadernación

Tapa Dura

Dimensiones

23.6 x 16.0 x 2.8 cm

Peso

0.75 kg.

ISBN

142006486X

ISBN13

9781420064865

Categorías

Sistemas numéricos
Lenguajes de programación scripting
Teoría matemática de la computación
Machine learning: aprendizaje automático

Process Algebra for Parallel and Distributed Processing (en Inglés)

Alexander, Michael ; Gardner, William (Autor) · CRC Press · Tapa Dura

Libro Físico

$ 142.150

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Reseña del libro "Process Algebra for Parallel and Distributed Processing (en Inglés)"

Collects the Latest Research Involving the Application of Process Algebra to ComputingExploring state-of-the-art applications, Process Algebra for Parallel and Distributed Processing shows how one formal method of reasoning--process algebra--has become a powerful tool for solving design and implementation challenges of concurrent systems. Parallel ProgrammingDivided into three parts, the book begins by parallelizing an algorithm for the Cell Broadband Engine processor of IBM, Sony, and Toshiba. It also develops a runtime environment that can be ported to different parallel platforms and describes the formal model of action systems. Distributed SystemsThe next part presents a process algebra (mCRL2) that targets distributed applications, looks at how to turn prose descriptions into unambiguous specifications, extends pi-calculus to create a service-oriented mobility abstract machine, and introduces the Channel Ambient Machine for mobile applications. Embedded SystemsThe final section combines state-based Z with the event-based process algebra CSP in a formal methodology called Circus. It also develops a pair of process algebras (PARS) to address the problem of scheduling in real-time embedded systems and emphasizes the reuse of concurrent artifacts across different hardware platforms.Highlighting recent research work, this volume addresses multicore programming problems and the evolution of the growing body of concurrency-enabled languages. It proposes solutions to the problems of designing and implementing today's concurrency-constrained multicore processor and cloud architectures.