Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator-Reference-Cited by-同舟云学术

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Cross-Layer Hardware/Software Assessment of the Open-Source NVDLA Configurable Deep Learning Accelerator

Published:2020-10-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IFIP/IEEE 28th International Conference on Very Large Scale Integration (VLSI-SOC)
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Author:

Veronesi Alessandro¹,Krstic Milos²,Bertozzi Davide³

Affiliation:

1. IHP - Leibniz Institut für Innovative Mikroelektronik

2. IHP - Leibniz Institut für Innovative, Mikroelektronik. also with University of Potsdam

3. University of Ferrara,Engineering Department

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9344049/9344068/09344109.pdf?arnumber=9344109

Reference19 articles.

1. Going Deeper with Embedded FPGA Platform for Convolutional Neural Network

2. Improving the Performance of OpenCL-based FPGA Accelerator for Convolutional Neural Network

3. DNNBuilder

4. PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks

Cited by 2 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. FPGA-assisted Design Space Exploration of Parameterized AI Accelerators: A Quickloop Approach;Journal of Systems Architecture;2024-10

2. Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstream MPSoC Platform;VLSI-SoC: Design Trends;2021

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