Multi-Level Operation of Ferroelectric FET Memory Arrays for Compute-In-Memory Applications
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
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| Title of host publication | 2023 IEEE International Memory Workshop, IMW 2023 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-4 |
| ISBN (electronic) | 9781665474597 |
| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE International Memory Workshop (IMW) |
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| ISSN | 2330-7978 |
Workshop
| Title | 15th IEEE International Memory Workshop |
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| Abbreviated title | IMW 2023 |
| Conference number | 15 |
| Duration | 21 - 24 May 2023 |
| City | Monterey |
| Country | United States of America |
External IDs
| ORCID | /0000-0002-7062-9598/work/174430555 |
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Keywords
ASJC Scopus subject areas
Keywords
- array, FeFET, ferroelectric, memory, multilevel, neural network