DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network

Ha, Huong; Zhang, Hongyu

DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network

conference contribution

posted on 2024-05-30, 12:57 authored by Huong Ha, Hongyu Zhang

DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network

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DOI - Is version of https://doi.org/10.1109/ICSE.2019.00113

Location

Montreal, Quebec

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000560373200095&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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E1 Full written paper - refereed

Pagination

1095-1106

Start date

2019-05-25

End date

2019-05-31

ISSN

0270-5257

Title of proceedings

ICSE 2019 : Proceedings of the IEEE/ACM 41ST International Conference on Software Engineering

Event

Software Engineering. Conference (2019 : 41st : Montreal, Quebec)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Series

International Conference on Software Engineering

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Keywords

APPROXIMATE BOUNDS Computer Science Computer Science, Artificial Intelligence Computer Science, Software Engineering Computer Science, Theory & Methods deep sparse feedforward neural network FEATURE MODELS highly configurable systems MULTILAYER FEEDFORWARD NETWORKS Science & Technology SELECTION software performance prediction sparsity regularization SYSTEMS Technology

DeepPerf: Performance Prediction for Configurable Software with Deep Sparse Neural Network

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