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Emerging Technology and Architecture for Big-data Analytics

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Cover of 'Emerging Technology and Architecture for Big-data Analytics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Scaling the Java Virtual Machine on a Many-Core System
  3. Altmetric Badge
    Chapter 2 Accelerating Data Analytics Kernels with Heterogeneous Computing
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    Chapter 3 Least-squares-solver Based Machine Learning Accelerator for Real-time Data Analytics in Smart Buildings
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    Chapter 4 Compute-in-Memory Architecture for Data-Intensive Kernels
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    Chapter 5 New Solutions for Cross-Layer System-Level and High-Level Synthesis
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    Chapter 6 Side Channel Attacks and Their Low Overhead Countermeasures on Residue Number System Multipliers
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    Chapter 7 Ultra-Low-Power Biomedical Circuit Design and Optimization: Catching the Don’t Cares
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    Chapter 8 Acceleration of MapReduce Framework on a Multicore Processor
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    Chapter 9 Adaptive Dynamic Range Compression for Improving Envelope-Based Speech Perception: Implications for Cochlear Implants
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    Chapter 10 Neuromorphic Hardware Acceleration Enabled by Emerging Technologies
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    Chapter 11 Energy Efficient Spiking Neural Network Design with RRAM Devices
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    Chapter 12 Efficient Neuromorphic Systems and Emerging Technologies: Prospects and Perspectives
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    Chapter 13 In-Memory Data Compression Using ReRAMs
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    Chapter 14 Big Data Management in Neural Implants: The Neuromorphic Approach
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    Chapter 15 Data Analytics in Quantum Paradigm: An Introduction
Attention for Chapter 2: Accelerating Data Analytics Kernels with Heterogeneous Computing
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Citations

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Chapter title
Accelerating Data Analytics Kernels with Heterogeneous Computing
Chapter number 2
Book title
Emerging Technology and Architecture for Big-data Analytics
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-54840-1_2
Book ISBNs
978-3-31-954839-5, 978-3-31-954840-1
Authors

Guanwen Zhong, Alok Prakash, Tulika Mitra, Zhong, Guanwen, Prakash, Alok, Mitra, Tulika

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Student > Ph. D. Student 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Business, Management and Accounting 1 25%
Unknown 1 25%