Big CPU, Big Data: Solving the Worlds Toughest Computational Problems with Parallel Computing

Kaminsky, Alan

ISBN 10: 1534872280 / ISBN 13: 9781534872288

Edité par CreateSpace Independent Publishing Platform, 2016

A propos de cet article

Shows minimal wear such as frayed or folded edges, minor rips and tears, and/or slightly worn binding. May have stickers and/or contain inscription on title page. No observed missing pages.

N° de réf. du vendeur 581QQC000EYZ_ns

Détails bibliographiques

• Titre: Big CPU, Big Data: Solving the Worlds Toughest Computational Problems with Parallel Computing
• Éditeur: CreateSpace Independent Publishing Platform
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 1534872280
• ISBN à 13 chiffres: 9781534872288
• Reliure: Couverture souple
• État de l'article: Good

A propos de ce titre

Synopsis

In the twenty-first century, scientists and engineers are tackling the world's toughest computational problems with parallel computing. Using multiple processor cores running simultaneously, parallel computers are solving these problems in less time and with greater accuracy than ever before. Even desktop PCs nowadays are powerful parallel computers. To take full advantage of the capabilities of these machines, programmers must learn to write parallel programs.

BIG CPU, BIG DATA teaches you how to write parallel programs for multicore machines, compute clusters, GPU accelerators, and big data map-reduce jobs, in the Java language, with the free, easy-to-use, object-oriented Parallel Java 2 Library. The book also covers how to measure the performance of parallel programs and how to design the programs to run as fast as possible.

À propos de l?auteur

With 39 years of industrial and academic computing experience, Alan Kaminsky has been teaching parallel computing since 2004. He is a professor in the Department of Computer Science at the Rochester Institute of Technology.