Examining the Portability of Deep Learning Runtime Optimization Methods

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Bibliographic Details
Title: Examining the Portability of Deep Learning Runtime Optimization Methods
Authors: Muhammet Alpaslan Tavukçu, Ayşe Yılmazer-Metin
Source: 2025 33rd Signal Processing and Communications Applications Conference (SIU). :1-4
Publisher Information: IEEE, 2025.
Publication Year: 2025
Document Type: Article
DOI: 10.1109/siu66497.2025.11111816
Rights: STM Policy #29
Accession Number: edsair.doi...........af1e3faecc94c60befc8c9bcbe48cdb9
Database: OpenAIRE
Description
DOI:10.1109/siu66497.2025.11111816