MulNet: A Flexible CNN Processor With Higher Resource Utilization Efficiency for Constrained Devices-Reference-Cited by-同舟云学术

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MulNet: A Flexible CNN Processor With Higher Resource Utilization Efficiency for Constrained Devices

Published:2019 Issue: Volume:7 Page:47509-47524
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hailesellasie Muluken Tadesse^ORCID,Hasan Syed Rafay

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08680748.pdf?arnumber=8680748

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Low Power 10T SRAM Based Computing in Memory Macro Architecture for Binary MAC Operation of Edge AI Processors;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

2. Empowering edge devices: FPGA‐based 16‐bit fixed‐point accelerator with SVD for CNN on 32‐bit memory‐limited systems;International Journal of Circuit Theory and Applications;2024-02-13

3. A Multiplier-Free Convolution Neural Network Hardware Accelerator for Real-Time Bearing Condition Detection of CNC Machinery;Sensors;2023-11-27

4. A high-speed reusable quantized hardware accelerator design for CNN on constrained edge device;Design Automation for Embedded Systems;2023-04-26

5. Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead;Neurocomputing;2023-04

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