Minimizing Execution Duration in the Presence of Learning-Enabled Components

Agrawa, Kunal, Baruah, Sanjoy, Burns, Alan orcid.org/0000-0001-5621-8816 et al. (1 more author) (2020) Minimizing Execution Duration in the Presence of Learning-Enabled Components. In: DATE '20:Proceedings of the 23rd Conference on Design, Automation and Test in Europe March 2020. Design Automation, 01 Apr - 30 Jun 2020 ACM , pp. 1644-1649.

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Keywords: Real-time analysis
Dates:
  • Published: 1 March 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
The University of York > Faculty of Arts and Humanities (York) > English and Related Literature (York)
Funding Information:
FunderGrant number
EPSRCEP/P003664/1
EPSRCEP/N023641/1
Depositing User: Pure (York)
Date Deposited: 27 Jan 2021 13:10
Last Modified: 07 Dec 2022 09:21
Published Version: https://doi.org/10.23919/DATE48585.2020.9116505
Status: Published
Publisher: ACM
Refereed: No
Identification Number: https://doi.org/10.23919/DATE48585.2020.9116505

Download

Accepted Version

Filename: DATEFinal.pdf

Description: Minimizing Execution Duration in the Presence of Learning-Enabled Components

CLICK TO DOWNLOAD [img]

Export

Statistics


CORE (COnnecting REpositories)