Energy Efficient Computing & Electronics: Devices to Systems

ISBN-13: 9781138710368 / Angielski / Twarda / 2019 / 452 str.

Santosh K. Kurinec; Sumeet Walia

Opis

This book investigates new approaches to lower energy requirement in computing and provides comprehensive coverage of various technologies that can help achieve this goal. Chapters are written by international experts in their corresponding field.

Recenzje

The book Energy Efficient Computing & Electronics: Devices to Systems contains a wealth of valuable resources being of paramount importance for graduated students, engineers, researchers and scientists willing to start exploring energy efficient designs of electronic devices, sensors, circuits and systems. The book is also a valuable tool for graduated level teachers, and practicing professionals who need to understand and master energy efficient revolutionary device concepts, associated circuits, and architectures that may greatly extend the practical engineering limits of future energy-efficient computation from device to system level.
-Industrial Electronics Magazine (IEM)

Spis treści

Section I Emerging Low Power Devices: A FinFET-Based Framework for VLSI Design at the 7 nm Node. Molecular Phenomena in MOSFET Gate Dielectrics and Interfaces. Tunneling Field Effect Transistors. The Exploitation of the Spin-Transfer Torque Effect for CMOS Compatible Beyond Von Neumann Computing. Ferroelectric Tunnel Junctions As Ultra-Low-Power Computing Devices. Section II Sensors, Interconnects and Rectifiers: X-ray Sensors Based on Chromium Compensated Gallium Arsenide (HR GaAs:Cr). Vertical-Cavity Surface-Emitting Lasers for Interconnects. Low-Power Optoelectronic Interconnects on Two-Dimensional Semiconductors. GaN-Based Schottky Barriers for Low Turn-On Voltage Rectifiers. Compound Semiconductor Oscillation Device Fabricated by Stoichiometry Controlled-Epitaxial Growth and Its Application to Terahertz and Infrared Imaging and Spectroscopy. Section III Systems Design and Applications: Low Power Biosensor Design Techniques Based on Information Theoretic Principles. Low-Power Processor Design Methodology: High-Level Estimation and Optimization via Processor Description Language. Spatio-Temporal Multi-Application Request Scheduling in Energy-Efficient Data Centers. Ultra-Low-Voltage Implementation of Neural Networks. Multi-Pattern Matching Based Dynamic Malware Detection in Smart Phones.