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

Programming Massively Parallel Processors A Handson Approach 3rd Edition David B Kirk

  • SKU: BELL-7233284
Programming Massively Parallel Processors A Handson Approach 3rd Edition David B Kirk
$ 31.00 $ 45.00 (-31%)

4.0

46 reviews

Programming Massively Parallel Processors A Handson Approach 3rd Edition David B Kirk instant download after payment.

Publisher: Morgan Kaufmann
File Extension: PDF
File size: 24.66 MB
Pages: 576
Author: David B. Kirk, Wen-Mei W Hwu
ISBN: 9780128119860, 0128119861
Language: English
Year: 2016
Edition: 3

Product desciption

Programming Massively Parallel Processors A Handson Approach 3rd Edition David B Kirk by David B. Kirk, Wen-mei W Hwu 9780128119860, 0128119861 instant download after payment.

Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.
Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth.
For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices.
• Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing
• Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments
• Contains new and updated case studies
• Includes coverage of newer libraries, such as CuDNN for Deep Learning

Related Products