Emerging Technology and Architecture for Big-data Analytics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chattopadhyay, Anupam (Επιμελητής έκδοσης), Chang, Chip Hong (Επιμελητής έκδοσης), Yu, Hao (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Engineering.; Big data.; Microprocessors.; Electronic circuits.; Circuits and Systems.; Processor Architectures.; Electronic Circuits and Devices.; 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...

Πίνακας περιεχομένων:

• 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.