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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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Podrobná bibliografie
Další autoři: Chattopadhyay, Anupam, 1977- (Editor) 
Chang, Chip-Hong (Editor) 
Yu, Hao, 1976- (Editor) 
Korporace: SpringerLink (online služba) (Distributor) 
Médium: E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer, 2017
Žánr/forma:sborníky
elektronické knihy
ISBN:978-3-319-54840-1
978-3-319-54839-5
Témata:
On-line přístup:Plný text
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Obálka
Obsah:
  • 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