In-memory computing: characteristics, spintronics, and neural network applications insights-Reference-Cited by-同舟云学术

In-memory computing: characteristics, spintronics, and neural network applications insights

Published:2024-07-09 Issue: Volume: Page:
ISSN:2520-8160
Container-title:Multiscale and Multidisciplinary Modeling, Experiments and Design
language:en
Short-container-title:Multiscale and Multidiscip. Model. Exp. and Des.

Author:

Jangra Payal,Duhan Manoj

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41939-024-00517-0.pdf

Reference129 articles.

1. A resistive TCAM accelerator for data-intensive computing | IEEE Conference Publication | IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/7851484. Accessed 11 Aug 2023

2. Agrawal A, Jaiswal A, Roy D et al (2019) Xcel-RAM: accelerating binary neural networks in high-throughput SRAM compute arrays. IEEE Trans Circuits Syst I Regul Pap 66:3064–3076. https://doi.org/10.1109/TCSI.2019.2907488

3. Ahn J, Hong S, Yoo S, et al (2015) A scalable processing-in-memory accelerator for parallel graph processing. Proc Int Symp Comput Archit 13–17-June-2015:105–117. https://doi.org/10.1145/2749469.2750386

4. Ahn J, Yoo S, Mutlu O, Choi K (2015) PIM-enabled instructions: A low-overhead, locality-aware processing-in-memory architecture. 2015 ACM/IEEE 42nd Annual International Symposium on Computer Architecture (ISCA) 13–17-June-2015:336–348. https://doi.org/10.1145/2749469.2750385

5. Ali M, Jaiswal A, Kodge S et al (2020) IMAC: In-memory multi-bit multiplication and accumulation in 6T SRAM array. IEEE Trans Circuits Syst I Regul Pap 67:2521–2531. https://doi.org/10.1109/TCSI.2020.2981901

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