Sun, Zhong;
Kvatinsky, Shahar;
Si, Xin;
Mehonic, Adnan;
Cai, Yimao;
Huang, Ru;
(2023)
A full spectrum of computing-in-memory technologies.
Nature Electronics
, 6
(11)
pp. 823-835.
10.1038/s41928-023-01053-4.
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Abstract
Computing in memory (CIM) could be used to overcome the von Neumann bottleneck and to provide sustainable improvements in computing throughput and energy efficiency. Underlying the different CIM schemes is the implementation of two kinds of computing primitive: logic gates and multiply–accumulate operations. Considering the input and output in either operation, CIM technologies differ in regard to how memory cells participate in the computation process. This complexity makes it difficult to build a comprehensive understanding of CIM technologies. Here, we provide a full-spectrum classification of all CIM technologies by identifying the degree of memory cells participating in the computation as inputs and/or output. We elucidate detailed principles for standard CIM technologies across this spectrum, and provide a platform for comparing the advantages and disadvantages of each of the different technologies. Our taxonomy could also potentially be used to develop other CIM schemes by applying the spectrum to different memory devices and computing primitives.
| Type: | Article |
|---|---|
| Title: | A full spectrum of computing-in-memory technologies |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41928-023-01053-4 |
| Publisher version: | http://dx.doi.org/10.1038/s41928-023-01053-4 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10185844 |
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