MRAM-Based In-Memory Computing for Efficient Acceleration of Generative Adversarial Networks-Reference-Cited by-同舟云学术

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MRAM-Based In-Memory Computing for Efficient Acceleration of Generative Adversarial Networks

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 23rd International Conference on Nanotechnology (NANO)
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Author:

Kaushik Partha¹,Gupta Avi²,Kaushik Brajesh Kumar³,Nehete Hemkant³

Affiliation:

1. Indian Institute of Technology Roorkee,Department of Computer Science and Engineering,Roorkee,Uttarakhand,India

2. Indian Institute of Technology Roorkee,Department of Mathematics,Roorkee,Uttarakhand,India

3. Indian Institute of Technology Roorkee,Department of Electronics and Communication Engineering,Roorkee,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10231127/10231154/10231159.pdf?arnumber=10231159

Reference15 articles.

1. Design space exploration for balanced MLC-PCM programming

2. Hydra: A near hybrid memory accelerator for CNN inference

3. IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network

4. Compact Modeling of Perpendicular-Anisotropy CoFeB/MgO Magnetic Tunnel Junctions

5. SOT-MRAM Digital PIM Architecture With Extended Parallelism in Matrix Multiplication

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