Multi-Level Operation of Ferroelectric FET Memory Arrays for Compute-In-Memory Applications
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
We report on the multi-level-cell (MLC) operation of AND-connected ferroelectric FET (FeFET) arrays and their suitability for Compute-in-Memory (CiM) applications. The switching behavior and device variation of FeFETs in a passive AND array test-structure configuration is investigated. From this, we derive suitable write schemes and inhibit schemes capable of protecting any FeFET state. This enables the MLC operation of the AND arrays, yielding a performance suitable for CiM applications. We investigate the impact of the obtained bit-error-rate (BER) of 4% in inference-only operation, which shows only a 1% degradation from the floating-point (FP) accuracy for CIFAR-10 datasets with LeNET.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | 2023 IEEE International Memory Workshop, IMW 2023 - Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 1-4 |
| ISBN (elektronisch) | 9781665474597 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | IEEE International Memory Workshop (IMW) |
|---|---|
| ISSN | 2330-7978 |
Workshop
| Titel | 15th IEEE International Memory Workshop |
|---|---|
| Kurztitel | IMW 2023 |
| Veranstaltungsnummer | 15 |
| Dauer | 21 - 24 Mai 2023 |
| Stadt | Monterey |
| Land | USA/Vereinigte Staaten |
Externe IDs
| ORCID | /0000-0002-7062-9598/work/174430555 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- array, FeFET, ferroelectric, memory, multilevel, neural network