enter search term and/or author name
Guest Editorial: Special Issue on Advances in Design of Ultra-Low Power Circuits and Systems in Emerging Technologies
Aida Todri-Sanial, Sanjukta Bhanja
Article No.: 11
A Survey on Low-Power Techniques with Emerging Technologies: From Devices to Systems
Pierre-Emmanuel Gaillardon, Edith Beigne, Suzanne Lesecq, Giovanni De Micheli
Article No.: 12
Nowadays, power consumption is one of the main limitations of electronic systems. In this context, novel and emerging devices provide new opportunities to extend the trend toward low-power design. In this survey article, we present a transversal...
A low-swing clocking methodology is introduced to achieve low-power operation at 20nm FinFET technology. Low-swing clock trees are used in existing methodologies in order to decrease the dynamic power consumption in a trade-off for 3 issues: (1)...
Resource pooling, where multiple architectural components are shared among cores, is a promising technique for improving system energy efficiency and reducing total chip area. 3D stacked multicore processors enable efficient pooling of cache...
Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit
Santosh Khasanvis, K. M. Masum Habib, Mostafizur Rahman, Roger Lake, Csaba Andras Moritz
Article No.: 15
Graphene is an emerging nanomaterial believed to be a potential candidate for post-Si nanoelectronics due to its exotic properties. Recently, a new graphene nanoribbon crossbar (xGNR) device was proposed which exhibits negative...
Spintronics: Emerging Ultra-Low-Power Circuits and Systems beyond MOS Technology
Wang Kang, Yue Zhang, Zhaohao Wang, Jacques-Olivier Klein, Claude Chappert, Dafiné Ravelosona, Gefei Wang, Youguang Zhang, Weisheng Zhao
Article No.: 16
Conventional MOS integrated circuits and systems suffer serve power and scalability challenges as technology nodes scale into ultra-deep-micron technology nodes (e.g., below 40nm). Both static and dynamic power dissipations are increasing, caused...
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures
Mostafa Rahimi Azghadi, Saber Moradi, Daniel B. Fasnacht, Mehmet Sirin Ozdas, Giacomo Indiveri
Article No.: 17
Hardware implementations of spiking neural networks offer promising solutions for computational tasks that require compact and low-power computing technologies. As these solutions depend on both the specific network architecture and the type of...
Process Variability and Electrostatic Analysis of Molecular QCA
Mariagrazia Graziano, Azzurra Pulimeno, Ruiyu Wang, Xiang Wei, Massimo Ruo Roch, Gianluca Piccinini
Article No.: 18
Molecular quantum-dot cellular automata (mQCA) is an emerging paradigm for nanoscale computation. Its revolutionary features are the expected operating frequencies (THz), the high device densities, the noncryogenic working temperature, and,...
Energy-Neutral Design Framework for Supercapacitor-Based Autonomous Wireless Sensor Networks
Trong Nhan Le, Alain Pegatoquet, Olivier Berder, Olivier Sentieys, Arnaud Carer
Article No.: 19
To design autonomous wireless sensor networks (WSNs) with a theoretical infinite lifetime, energy harvesting (EH) techniques have been recently considered as promising approaches. Ambient sources can provide everlasting additional...