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Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf | IEEE Journals & Magazine | IEEE Xplore
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Journals & Magazines >IEEE Software >Volume: 38 Issue: 1

Benchmarking Deep Neural Network Inference Performance on Serverless Environments With MLPerf

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Unai Elordi; Luis Unzueta; Jon Goenetxea; Sergio Sanchez-Carballido; Ignacio Arganda-Carreras; Oihana Otaegui
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Abstract:

We provide a novel decomposition methodology from the current MLPerf benchmark to the serverless function execution model. We have tested our approach in Amazon Lambda to...Show More

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Abstract:

We provide a novel decomposition methodology from the current MLPerf benchmark to the serverless function execution model. We have tested our approach in Amazon Lambda to benchmark the processing capabilities of OpenCV and OpenVINO inference engines.
Published in: IEEE Software ( Volume: 38, Issue: 1, Jan.-Feb. 2021)
Page(s): 81 - 87
Date of Publication: 09 October 2020

ISSN Information:

DOI: 10.1109/MS.2020.3030199

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