Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Massively Parallel Computation : Algorithms and Applications, Paperback / softback Book

Massively Parallel Computation : Algorithms and Applications Paperback / softback

Part of the Foundations and Trends® in Optimization series

Paperback / softback

Out of stock

Description

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.

Information

£55.00

Out of stock
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information