Accelerating AI Applications using Analog In-Memory Computing-Reference-Cited by-同舟云学术

Accelerating AI Applications using Analog In-Memory Computing

Published:2021-06-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 on Great Lakes Symposium on VLSI
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Author:

Channamadhavuni Shravya¹,Thijssen Sven¹,Jha Sumit Kumar²,Ewetz Rickard¹

Affiliation:

1. University of Central Florida, Orlando, FL, USA

2. University of Texas at San Antonio, San Antonio, TX, USA

Funder

NSF award

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3453688.3461746

Reference48 articles.

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3. High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

4. Nanoscale Hafnium Oxide RRAM Devices Exhibit Pulse Dependent Behavior and Multi-level Resistance Capability

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