SCHEDULING CONFIGURATION FOR DEEP LEARNING NETWORKS

In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of...

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Main Authors Bar-On, Tomer, Walter, Zigi, Jacob, Guy, Fais, Yaniv, Hirsch, Shira, Ben-Avi, Eran, Faivishevsky, Lev, Dreyfuss, Jeremie, Zmora, Neta, Weisel, Orly, Oren, Yarden, Subag, Jacob
Format Patent
LanguageEnglish
Published 07.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
Bibliography:Application Number: US202318174275