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A novel in-memory computing scheme based on toggle spin torque MRAM

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes a novel in-memory computing (IMC) scheme based on toggle spin torque magnetic random access memory (TST-MRAM), called TST-IMC, which makes full use of the unique TST writing mechanism. In this scheme, all of the computing results are directly written in bit-cells without transferring data out of the memory array. Varied Boolean logic operations, such as, NAND, NOR and XOR, can be achieved by specially configuring decision cells. We can also implement three-input majority logic through replacing a decision cell with a datum cell, which can further be used to realize the carry of full-adder. By using 28 nm CMOS technology node and 50 nmdiameter TST-MRAM, we perform mixed simulations to validate the functionality of the proposed TST-IMC scheme. Simulation results show that XOR logic operation can be carried out within 4 ns at 1.8 V supply voltage while the other basic logic operations can be faster, i.e. within 2 ns. In addition, TST-IMC 33% less time and 44% energy saved comparing with existing IMC schemes.

源语言英语
主期刊名GLSVLSI 2020 - Proceedings of the 2020 Great Lakes Symposium on VLSI
出版商Association for Computing Machinery
351-356
页数6
ISBN(电子版)9781450379441
DOI
出版状态已出版 - 7 9月 2020
活动30th Great Lakes Symposium on VLSI, GLSVLSI 2020 - Virtual, Online, 中国
期限: 7 9月 20209 9月 2020

出版系列

姓名Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI

会议

会议30th Great Lakes Symposium on VLSI, GLSVLSI 2020
国家/地区中国
Virtual, Online
时期7/09/209/09/20

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