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Digital Simulation of Superconductive Memory System Based on Hardware Description Language Modeling
Joint Authors
Source
Advances in Condensed Matter Physics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-27
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
We have modeled a memory system using Josephson Junction to attain low power consumption using low input voltage compared to conventional Complementary Metal Oxide Semiconductor-Static Random Access Memory (CMOS-SRAM).
We attained the low power by connecting a shared/common bit line and using a 1-bit memory cell.
Through our design we may attain 2.5–3.5 microwatts of power using lower input voltage of 0.6 millivolts.
Comparative study has been made to find which memory system will attain low power consumption.
Conventional SRAM techniques consume power in the range of milliwatts with the supply input in the range of 0-10 volts.
Using HDL language, we made a memory logic design of RAM cells using Josephson Junction in FreeHDL software which is dedicated only for Josephson Junction based design.
With use of XILINX, we have calculated the power consumption and equivalent Register Transfer Level (RTL) schematic is drawn.
American Psychological Association (APA)
Narendran, S.& Selvakumar, J.. 2018. Digital Simulation of Superconductive Memory System Based on Hardware Description Language Modeling. Advances in Condensed Matter Physics،Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1117174
Modern Language Association (MLA)
Narendran, S.& Selvakumar, J.. Digital Simulation of Superconductive Memory System Based on Hardware Description Language Modeling. Advances in Condensed Matter Physics No. 2018 (2018), pp.1-5.
https://search.emarefa.net/detail/BIM-1117174
American Medical Association (AMA)
Narendran, S.& Selvakumar, J.. Digital Simulation of Superconductive Memory System Based on Hardware Description Language Modeling. Advances in Condensed Matter Physics. 2018. Vol. 2018, no. 2018, pp.1-5.
https://search.emarefa.net/detail/BIM-1117174
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117174