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Author Hnninen, Ismo K. ♦ Lent, Craig S. ♦ Snider, Gregory L.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Irreversible logic ♦ QCA ♦ Adiabatic CMOS ♦ Beyond-CMOS ♦ Emerging devices ♦ Energy ♦ Heat generation ♦ Information loss ♦ Power estimation ♦ Quantum-dot cellular automata ♦ Reversible computation
Abstract Heat generation limits the performance of state-of-the-art integrated circuits, originating from the wasteful static CMOS operating principle. Near-term solutions like adiabatic charging for energy recovery and limiting friction-type heat sources provide considerable improvement. However, these methods do not address the ultimate thermodynamic necessity to expel energy related to information loss in the computing process. In emerging beyond-CMOS technologies, this bit erasure heat alone can overwhelm the cooling capacity and set the limits of the computing performance. Therefore, logical information loss is becoming an important factor for digital circuit design, and tools have to be developed for analysis and optimization. This article presents a framework for estimating the amount of information loss in complex logic circuits, demonstrating the method by modeling the irreversible bit erasures in a standard binary adder structure. Binary addition is one of the most often used and highly optimized digital designs, and we estimate the erasure bounds for components on various levels of design abstraction, showing that the actual logic gate implementations have orders of magnitude higher loss than the addition operation itself would require. The method and the results can be used to optimize circuits for a higher degree of logical reversibility and energy conservation.
ISSN 15504832
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-11-01
Publisher Place New York
e-ISSN 15504840
Journal ACM Journal on Emerging Technologies in Computing Systems (JETC)
Volume Number 11
Issue Number 2
Page Count 17
Starting Page 1
Ending Page 17

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Source: ACM Digital Library