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 Big Data Computing Dhabaleswar K Panda

  • SKU: BELL-232954284
Highperformance Big Data Computing Dhabaleswar K Panda
$ 31.00 $ 45.00 (-31%)

4.0

46 reviews

Highperformance Big Data Computing Dhabaleswar K Panda instant download after payment.

Publisher: MIT Press
File Extension: MOBI
File size: 13.33 MB
Author: Dhabaleswar K. Panda
Language: English
Year: 2023

Product desciption

Highperformance Big Data Computing Dhabaleswar K Panda by Dhabaleswar K. Panda instant download after payment.

An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning.
 

Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. 
 
The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload...

Related Products