Abstract
This paper investigates the potential of a compute-in-memory core based on optical Phase Change Materials (oPCMs) to speed up and reduce the energy consumption of the Matrix-Matrix-Multiplication operation. The paper also proposes a new data mapping for Binary Neural Networks (BNNs) tailored for our oPCM core. The preliminary results show a significant latency improvement irrespective of the evaluated network structure and size. The improvement varies from network to network and goes up to ~1053x.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) |
| Place of Publication | Piscataway |
| Publisher | IEEE |
| Pages | 1-2 |
| Number of pages | 2 |
| ISBN (Print) | 979-8-3503-9624-9 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | DATE 2023: Design, Automation & Test in Europe Conference & Exhibition - Antwerp, Belgium Duration: 17 Apr 2023 → 19 Apr 2023 https://www.date-conference.com |
Conference
| Conference | DATE 2023 |
|---|---|
| Country/Territory | Belgium |
| City | Antwerp |
| Period | 17/04/23 → 19/04/23 |
| Internet address |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Binary Neural Network
- Optical PCM
- Computation-In-Memory
