Bang for the Buck: Evaluating the cost-effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads-Reference-Cited by-同舟云学术

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Bang for the Buck: Evaluating the cost-effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads

Published:2023-12-06 Issue: Volume: Page:94-107
ISSN:
Container-title:Proceedings of the Eighth ACM/IEEE Symposium on Edge Computing
language:
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Author:

Saini Amarjeet¹^ORCID,Shende Omkar B¹^ORCID,Pandit Mohammad Khalid²^ORCID,Sen Rijurekha³^ORCID,Ananthanarayanan Gayathri¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Technology Dharwad, Dharwad, Karnataka, India

2. Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi, India

3. Department of Computer Science and Engineering, Indian Institute of Technology Delhi, Delhi, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583740.3628437

Reference51 articles.

1. [n. d.]. The 2022 Gartner Hype Cycle™for Artificial Intelligence (AI). https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2022-gartner-hype-cycle.

2. [n. d.]. Acuity Toolkit : https://github.com/khadas/aml_npu_sdk.

3. [n. d.]. AI in Edge Devices. https://www.linleygroup.com/events/agenda.php?num=49&day=1.

4. [n. d.]. ARMNN : https://github.com/ARM-software/armnn.

5. [n. d.]. Intel NCS2. https://www.intel.com/content/www/us/en/developer/articles/tool/neural-compute-stick.html.

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