Conference proceeding
Scalable Resonant Power Clock Generation for Adiabatic Logic Design
2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp 338-342
Jul 2021
Abstract
In this paper, a scalable and passive component-less power-clock generation for adiabatic logic circuits, inclusive of the adiabatic core, is presented. The power-clock is traditionally a sinusoidal signal, that acts as the power and timing source to adiabatic gates. The slope of the power-clock signal directly impacts the overall energy efficiency of the adiabatic gates. Prior works have considered using LC based power-clock generation circuits, which are often considered costly due to area and high-Q inductor requirements. In this paper, a scalable solution is presented that features a unique innovation for the power clock generation circuit in step-charged circuits designed with resonant clocking. In particular, resonant rotary style clocking is used to provide the low power control to step-charged power clock circuits. SPICE based simulations are performed at 400 MHz on large scale adiabatic implementations of LGSynth'91 benchmark circuits. The overall energy efficiency of the proposed implementations are compared to those of equivalent adiabatic circuits with a traditional LC power-clock solution.
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Details
- Title
- Scalable Resonant Power Clock Generation for Adiabatic Logic Design
- Creators
- Ragh Kuttappa - Drexel UniversityLeo Filippini - Drexel UniversityNicholas Sica - Drexel UniversityBaris Taskin - Drexel UniversityIEEE Comp Soc
- Publication Details
- 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pp 338-342
- Publisher
- IEEE
- Grant note
- National Science Foundation (10.13039/100000001)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000708182400057
- Scopus ID
- 2-s2.0-85114963092
- Other Identifier
- 991019168734204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic