Low-Power Adiabatic Computing with Improved Quasistatic Energy Recovery Logic
Joint Authors
Upadhyay, Shipra
Mishra, R. A.
Nagaria, Rajendra Kumar
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Efficiency of adiabatic logic circuits is determined by the adiabatic and non-adiabatic losses incurred by them during the charging and recovery operations.
The lesser will be these losses circuit will be more energy efficient.
In this paper, a new approach is presented for minimizing power consumption in quasistatic energy recovery logic (QSERL) circuit which involves optimization by removing the nonadiabatic losses completely by replacing the diodes with MOSFETs whose gates are controlled by power clocks.
Proposed circuit inherits the advantages of quasistatic ERL (QSERL) family but is with improved power efficiency and driving ability.
In order to demonstrate workability of the newly developed circuit, a 4 × 4 bit array multiplier circuit has been designed.
A mathematical expression to calculate energy dissipation in proposed inverter is developed.
Performance of the proposed logic (improved quasistatic energy recovery logic (IQSERL)) is analyzed and compared with CMOS and reported QSERL in their representative inverters and multipliers in VIRTUOSO SPECTRE simulator of Cadence in 0.18 μm UMC technology.
In our proposed (IQSERL) inverter the power efficiency has been improved to almost 20% up to 50 MHz and 300 fF external load capacitance in comparison to CMOS and QSERL circuits.
American Psychological Association (APA)
Upadhyay, Shipra& Nagaria, Rajendra Kumar& Mishra, R. A.. 2013. Low-Power Adiabatic Computing with Improved Quasistatic Energy Recovery Logic. VLSI Design،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-493746
Modern Language Association (MLA)
Upadhyay, Shipra…[et al.]. Low-Power Adiabatic Computing with Improved Quasistatic Energy Recovery Logic. VLSI Design No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-493746
American Medical Association (AMA)
Upadhyay, Shipra& Nagaria, Rajendra Kumar& Mishra, R. A.. Low-Power Adiabatic Computing with Improved Quasistatic Energy Recovery Logic. VLSI Design. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-493746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493746