Name: Massively Parallel Computation: Algorithms and Applications (Foundations and Trends(R) in Optimization) (en Inglés)
Price: 110100.00 CLP
Availability: InStock
Author: Sungjin Im; Ravi Kumar; Silvio Lattanzi
ISBN: 9781638282167

portada Massively Parallel Computation: Algorithms and Applications (Foundations and Trends(R) in Optimization) (en Inglés)

Formato

Libro Físico

Editorial

Now Publishers

Autor

Sungjin Im; Ravi Kumar; Silvio Lattanzi

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9781638282167

Massively Parallel Computation: Algorithms and Applications (Foundations and Trends(R) in Optimization) (en Inglés)

Sungjin Im; Ravi Kumar; Silvio Lattanzi (Autor) · Now Publishers · Tapa Blanda

Libro Físico

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$ 152.920

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Reseña del libro "Massively Parallel Computation: Algorithms and Applications (Foundations and Trends(R) in Optimization) (en Inglés)"

The modern era is witnessing a revolution in the ability to scale computations to massively large data sets. A key breakthrough in scalability was the introduction of fast and easy-to-use distributed programming models such as the Massively Parallel Model of Computation (MPC) framework (also known as MapReduce). The framework describes algorithmic tools that have been developed to leverage the unique features of the MPC framework. These tools were chosen for their broad applicability, as they can serve as building blocks to design new algorithms. In this monograph the authors describe in detail certain tools available in the framework that are generally applicable and can be used as building blocks to design algorithms in the area. These include Partitioning and Coresets, sample and prune, dynamic programming, round compression, and lower bounds. This monograph provides the reader with an accessible introduction to the most important tools of a framework used for the design of new algorithms deployed in systems using massively parallel computation.