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

High Performance Computing For Big Data Methodologies And Applications 1st Edition Chao Wang

  • SKU: BELL-6763570
High Performance Computing For Big Data Methodologies And Applications 1st Edition Chao Wang
$ 31.00 $ 45.00 (-31%)

4.4

92 reviews

High Performance Computing For Big Data Methodologies And Applications 1st Edition Chao Wang instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 9.56 MB
Pages: 286
Author: Chao Wang
ISBN: 9781498783996, 1498783996
Language: English
Year: 2017
Edition: 1

Product desciption

High Performance Computing For Big Data Methodologies And Applications 1st Edition Chao Wang by Chao Wang 9781498783996, 1498783996 instant download after payment.

High-Performance Computing for Big Data: Methodologies and Applications exploresemerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering.

The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering.

Features

  • Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark
  • Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs
  • Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles
  • Describes advanced algorithms for different big data application domains
  • Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies

Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications.

About the Editor

Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.

 

Related Products