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Emerging Technology and Architecture for Big-data Analytics by Anupam Chattopadh
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Located in: Fairfield, Ohio, United States
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eBay item number:386720617121
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9783319854977
- Book Title
- Emerging Technology and Architecture for Big-data Analytics
- ISBN
- 9783319854977
- Publication Year
- 2018
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Emerging Technology and Architecture for Big-Data Analytics
- Item Length
- 9.3in
- Publisher
- Springer International Publishing A&G
- Item Width
- 6.1in
- Item Weight
- 183.8 Oz
- Number of Pages
- Xi, 330 Pages
About this product
Product Information
This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3319854976
ISBN-13
9783319854977
eBay Product ID (ePID)
4038408890
Product Key Features
Publication Name
Emerging Technology and Architecture for Big-Data Analytics
Format
Trade Paperback
Language
English
Publication Year
2018
Type
Textbook
Number of Pages
Xi, 330 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
183.8 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Tk7867-7867.5
Table of Content
Part I State-of-the-Art Architectures and Automation for Data-analytics.- Chapter 1. Scaling the Java Virtual Machine on a Many-core System.- Chapter 2.Scaling the Java Virtual Machine on a Many-core System.- Chapter 3.Least-squares based Machine Learning Accelerator for Big-data Analytics in Smart Buildings.- Chapter 4.Compute-in-memory Architecture for Data-Intensive Kernels.- Chapter 5. New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Part II New Solutions for Cross-Layer System-Level and High-Level Synthesis.- Chapter 6.Side Channel Attacks and Efficient Countermeasures on Residue Number System Multipliers.- Chapter 7. Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching The Don't Cares.- Chapter 8.Acceleration of MapReduce Framework on a Multicore Processor.- Chapter 9. Adaptive dynamic range compression for improving envelope-based speech perception: Implications for cochlear implants.- Part III Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 10. Emerging Technology, Circuits and Systems for Data-analytics.- Chapter 11. Energy Efficient Spiking Neural Network Design with RRAM Devices.- Chapter 12. Efficient Neuromorphic Systems and Emerging Technologies - Prospects and Perspectives.- Chapter 13. In-memory Data Compression Using ReRAMs.- Chapter 14. In-memory Data Compression Using ReRAMs.- Chapter 15.Data Analytics in Quantum Paradigm - An Introduction.
Copyright Date
2017
Topic
Systems Architecture / General, Electronics / Circuits / General, Databases / Data Mining, Databases / General
Dewey Decimal
005.7
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Technology & Engineering
Item description from the seller
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eBay item number:386720617121
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