Print Email Facebook Twitter Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture Title Read-disturb Detection Methodology for RRAM-based Computation-in-Memory Architecture Author Yaldagard, Mohammad Amin (TU Delft Computer Engineering) Diware, S.S. (TU Delft Computer Engineering) Joshi, R.V. (TU Delft Computer Engineering; IBM Thomas J. Watson Research Centre) Hamdioui, S. (TU Delft Quantum & Computer Engineering) Bishnoi, R.K. (TU Delft Computer Engineering) Department Quantum & Computer Engineering Date 2023 Abstract Resistive random access memory (RRAM) based computation-in-memory (CIM) architectures can meet the unprecedented energy efficiency requirements to execute AI algorithms directly on edge devices. However, the read-disturb problem associated with these architectures can lead to accumulated computational errors. To achieve the necessary level of computational accuracy, after a specific number of read cycles, these devices must undergo a reprogramming process which is a static approach and needs a large counter. This paper proposes a circuit-level RRAM read-disturb detection technique by monitoring real-time conductance drifts of RRAM devices, which initiate the reprogramming when actually it needs. Moreover, an analytic method is presented to determine the minimum conductance detection requirements, and our proposed read-disturb detection technique is tuned for the same to detect it dynamically. SPICE simulation result using TSMC 40 nm shows the correct functionality of our proposed detection technique. To reference this document use: http://resolver.tudelft.nl/uuid:21aefc58-7c7f-487c-9bbb-d7cfb10b4e86 DOI https://doi.org/10.1109/AICAS57966.2023.10168638 Embargo date 2024-01-08 ISBN 979-8-3503-3267-4 Source 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS) Event 5th International Conference on Artificial Intelligence Circuits and Systems, 2023-06-11 → 2023-06-13, Hangzhou, China 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-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. Part of collection Institutional Repository Document type conference paper Rights © 2023 Mohammad Amin Yaldagard, S.S. Diware, R.V. Joshi, S. Hamdioui, R.K. Bishnoi Files PDF Read_disturb_Detection_Me ... ecture.pdf 2.46 MB Close viewer /islandora/object/uuid:21aefc58-7c7f-487c-9bbb-d7cfb10b4e86/datastream/OBJ/view