Emerging Technology and Architecture for Big-data Analytics

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 eme...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Chattopadhyay, Anupam (Editör), Chang, Chip Hong (Editör), Yu, Hao (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Konular:
Electronic circuits.
Microprocessors.
Computer architecture.
Quantitative research.
Electronic Circuits and Systems.
Processor Architectures.
Data Analysis and Big Data.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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