logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Highperformance Scientific Computing Algorithms And Applications 1st Edition Kyle A Gallivan

  • SKU: BELL-2507774
Highperformance Scientific Computing Algorithms And Applications 1st Edition Kyle A Gallivan
$ 31.00 $ 45.00 (-31%)

4.7

96 reviews

Highperformance Scientific Computing Algorithms And Applications 1st Edition Kyle A Gallivan instant download after payment.

Publisher: Springer-Verlag London
File Extension: PDF
File size: 7.35 MB
Pages: 350
Author: Kyle A. Gallivan, Efstratios Gallopoulos (auth.), Michael W. Berry, Kyle A. Gallivan, Efstratios Gallopoulos, Ananth Grama, Bernard Philippe, Yousef Saad, Faisal Saied (eds.)
ISBN: 9781447124368, 1447124367
Language: English
Year: 2012
Edition: 1

Product desciption

Highperformance Scientific Computing Algorithms And Applications 1st Edition Kyle A Gallivan by Kyle A. Gallivan, Efstratios Gallopoulos (auth.), Michael W. Berry, Kyle A. Gallivan, Efstratios Gallopoulos, Ananth Grama, Bernard Philippe, Yousef Saad, Faisal Saied (eds.) 9781447124368, 1447124367 instant download after payment.

This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.

Related Products