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.
|Title of host publication||Proceedings of the 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)|
|Place of Publication||Piscataway|
|Number of pages||2|
|Publication status||Published - 2023|
|Event||DATE 2023: Design, Automation & Test in Europe Conference & Exhibition - Antwerp, Belgium|
Duration: 17 Apr 2023 → 19 Apr 2023
|Period||17/04/23 → 19/04/23|
Bibliographical noteGreen Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise 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.
- Binary Neural Network
- Optical PCM