Energy-Efficient Ternary Multipliers Using CNT Transistors

In recent decades, power consumption has become an essential factor in attracting the attention of integrated circuit (IC) designers. Multiple-valued logic (MVL) and approximate computing are some techniques that could be applied to integrated circuits to make power-efficient systems. By utilizing M...

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Main Authors: Sepehr Tabrizchi, Atiyeh Panahi, Fazel Sharifi, Hamid Mahmoodi, Abdel-Hameed A. Badawy
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/4/643
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author Sepehr Tabrizchi
Atiyeh Panahi
Fazel Sharifi
Hamid Mahmoodi
Abdel-Hameed A. Badawy
author_facet Sepehr Tabrizchi
Atiyeh Panahi
Fazel Sharifi
Hamid Mahmoodi
Abdel-Hameed A. Badawy
author_sort Sepehr Tabrizchi
collection DOAJ
description In recent decades, power consumption has become an essential factor in attracting the attention of integrated circuit (IC) designers. Multiple-valued logic (MVL) and approximate computing are some techniques that could be applied to integrated circuits to make power-efficient systems. By utilizing MVL-based circuits instead of binary logic, the information conveyed by digital signals increases, and this reduces the required interconnections and power consumption. On the other hand, approximate computing is a class of arithmetic computing used in systems where the accuracy of the computation can be traded-off for lower energy consumption. In this paper, we propose novel designs for exact and inexact ternary multipliers based on carbon-nanotube field-effect transistors (CNFETs). The unique characteristics of CNFETs make them a desirable alternative to MOSFETs. The simulations are conducted using Synopsys HSPICE. The proposed design is compared against existing ternary multipliers. The results show that the proposed exact multiplier reduces the energy consumption by up to 6 times, while the best inexact design improves energy efficiency by up to 35 time compared to the latest state-of-the-art methods. Using the imprecise multipliers for image processing provides evidence that these proposed designs are a low-power system with an acceptable error.
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spelling doaj.art-daaece1fe8d34338b9db2b7af25b1e222023-11-19T21:32:38ZengMDPI AGElectronics2079-92922020-04-019464310.3390/electronics9040643Energy-Efficient Ternary Multipliers Using CNT TransistorsSepehr Tabrizchi0Atiyeh Panahi1Fazel Sharifi2Hamid Mahmoodi3Abdel-Hameed A. Badawy4Faculty of Computer Science and Engineering, Shahid Beheshti University G. C., Tehran 1983963113, IranFaculty of Computer Science and Engineering, Shahid Beheshti University G. C., Tehran 1983963113, IranDepartment of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 7631133131, IranDepartment of Electrical and Computer Engineering, San Francisco State University, San Francisco, CA 94132, USAKlipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, NM 88003, USAIn recent decades, power consumption has become an essential factor in attracting the attention of integrated circuit (IC) designers. Multiple-valued logic (MVL) and approximate computing are some techniques that could be applied to integrated circuits to make power-efficient systems. By utilizing MVL-based circuits instead of binary logic, the information conveyed by digital signals increases, and this reduces the required interconnections and power consumption. On the other hand, approximate computing is a class of arithmetic computing used in systems where the accuracy of the computation can be traded-off for lower energy consumption. In this paper, we propose novel designs for exact and inexact ternary multipliers based on carbon-nanotube field-effect transistors (CNFETs). The unique characteristics of CNFETs make them a desirable alternative to MOSFETs. The simulations are conducted using Synopsys HSPICE. The proposed design is compared against existing ternary multipliers. The results show that the proposed exact multiplier reduces the energy consumption by up to 6 times, while the best inexact design improves energy efficiency by up to 35 time compared to the latest state-of-the-art methods. Using the imprecise multipliers for image processing provides evidence that these proposed designs are a low-power system with an acceptable error.https://www.mdpi.com/2079-9292/9/4/643CNFETsapproximate computingmultiple-valued logic
spellingShingle Sepehr Tabrizchi
Atiyeh Panahi
Fazel Sharifi
Hamid Mahmoodi
Abdel-Hameed A. Badawy
Energy-Efficient Ternary Multipliers Using CNT Transistors
Electronics
CNFETs
approximate computing
multiple-valued logic
title Energy-Efficient Ternary Multipliers Using CNT Transistors
title_full Energy-Efficient Ternary Multipliers Using CNT Transistors
title_fullStr Energy-Efficient Ternary Multipliers Using CNT Transistors
title_full_unstemmed Energy-Efficient Ternary Multipliers Using CNT Transistors
title_short Energy-Efficient Ternary Multipliers Using CNT Transistors
title_sort energy efficient ternary multipliers using cnt transistors
topic CNFETs
approximate computing
multiple-valued logic
url https://www.mdpi.com/2079-9292/9/4/643
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AT atiyehpanahi energyefficientternarymultipliersusingcnttransistors
AT fazelsharifi energyefficientternarymultipliersusingcnttransistors
AT hamidmahmoodi energyefficientternarymultipliersusingcnttransistors
AT abdelhameedabadawy energyefficientternarymultipliersusingcnttransistors