Round-Based Mechanism and Job Packing with Model-Similarity-Based Policy for Scheduling DL Training in GPU Cluster

Graphics Processing Units (GPUs) are employed for their parallel processing capabilities, which are essential to train deep learning (DL) models with large datasets within a reasonable time. However, the diverse GPU architectures exhibit variability in training performance depending on DL models. Fu...

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Ngā kaituhi matua:	Panissara Thanapol, Kittichai Lavangnananda, Franck Leprévost, Arnaud Glad, Julien Schleich, Pascal Bouvry
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2024-03-01
Rangatū:	Applied Sciences
Ngā marau:	deep learning deep learning training distributed training GPU cluster job packing round-based mechanism
Urunga tuihono:	https://www.mdpi.com/2076-3417/14/6/2349
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!