Deep Reinforcement Learning based Online Scheduling Policy for Deep Neural Network Multi-Tenant Multi-Accelerator Systems

Detalles Bibliográficos

Publicado en:	arXiv.org (Apr 13, 2024), p. n/a
Autor principal:	Blanco, Francesco G
Otros Autores:	Russo, Enrico, Palesi, Maurizio, Patti, Davide, Ascia, Giuseppe, Catania, Vincenzo
Publicado:	Cornell University Library, arXiv.org
Materias:	Scheduling Algorithms Deep learning System effectiveness Computer aided scheduling Machine learning Artificial neural networks Accelerators Heterogeneity
Acceso en línea:	Citation/Abstract Full text outside of ProQuest
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