Computing-in-memory with spintronics

Shubham Jain, Sachin S Sapatnekar, Jian Ping Wang, Kaushik Roy, Anand Raghunathan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

In-memory computing is a promising approach to alleviating the processor-memory data transfer bottleneck in computing systems. While spintronics has attracted great interest as a non-volatile memory technology, recent work has shown that its unique properties can also enable in-memory computing. We summarize efforts in this direction, and describe three different designs that enhance STT-MRAM to perform logic, arithmetic, and vector operations and evaluate transcendental functions within memory arrays.

Original languageEnglish (US)
Title of host publicationProceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1640-1645
Number of pages6
ISBN (Electronic)9783981926316
DOIs
StatePublished - Apr 19 2018
Event2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018 - Dresden, Germany
Duration: Mar 19 2018Mar 23 2018

Publication series

NameProceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018
Volume2018-January

Other

Other2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018
Country/TerritoryGermany
CityDresden
Period3/19/183/23/18

Bibliographical note

Funding Information:
part by National Science Foundation under grant 1320808

Publisher Copyright:
© 2018 EDAA.

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