In‐memory calculation with embedded arithmetic and logic units for deep neural network. Issue 17 (21st June 2022)
- Record Type:
- Journal Article
- Title:
- In‐memory calculation with embedded arithmetic and logic units for deep neural network. Issue 17 (21st June 2022)
- Main Title:
- In‐memory calculation with embedded arithmetic and logic units for deep neural network
- Authors:
- Yu, Shuiyue
Fu, Jie
Lin, Zhiting
Peng, Chunyu
Wu, Xiulong - Abstract:
- Abstract: The computation of multiplication in memory is a promising approach to reduce latency and improve the energy efficiency of intelligence edge processors. However, the multiplication operation in the analog domain is associated with complex peripheral circuits and low accuracy. In this letter, an static random‐access memory (SRAM) array with embedded low area cost arithmetic and logic units is proposed, which realizes high‐speed and high‐precision multi‐bit multiplication. The calculation delay is as low as 164 ps. The maximum integral non‐linearity (INL) is only 0.340 least significant bit, which is 1/16 of that of analog domain multiplication.
- Is Part Of:
- Electronics letters. Volume 58:Issue 17(2022)
- Journal:
- Electronics letters
- Issue:
- Volume 58:Issue 17(2022)
- Issue Display:
- Volume 58, Issue 17 (2022)
- Year:
- 2022
- Volume:
- 58
- Issue:
- 17
- Issue Sort Value:
- 2022-0058-0017-0000
- Page Start:
- 639
- Page End:
- 641
- Publication Date:
- 2022-06-21
- Subjects:
- Electronics -- Periodicals
621.381 - Journal URLs:
- http://digital-library.theiet.org/content/journals/el ↗
http://estar.bl.uk/cgi-bin/sciserv.pl?collection=journals&journal=00135194 ↗
https://ietresearch.onlinelibrary.wiley.com/loi/1350911x ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/ell2.12549 ↗
- Languages:
- English
- ISSNs:
- 0013-5194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3705.060000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23855.xml