PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators-Reference-Cited by-同舟云学术

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PiPSim: A Behavior-Level Modeling Tool for CNN Processing-in-Pixel Accelerators

Published:2024-01 Issue:1 Volume:43 Page:141-150
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Roohi Arman¹^ORCID,Tabrizchi Sepehr¹,Morsali Mehrdad²,Pan David Z.³^ORCID,Angizi Shaahin²^ORCID

Affiliation:

1. School of Computing, University of Nebraska–Lincoln, Lincoln, NE, USA

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

https://ieeexplore.ieee.org/ielam/43/10372473/10217181-aam.pdf

Reference39 articles.

1. Considerations Of Integrating Computing-In-Memory And Processing-In-Sensor Into Convolutional Neural Network Accelerators For Low-Power Edge Devices

2. Pixel-level processing: why, what, and how?

3. A Reconfigurable Convolution-in-Pixel CMOS Image Sensor Architecture

4. A processing-in-pixel-in-memory paradigm for resource-constrained TinyML applications

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