Analyzing Data Reference Characteristics of Deep Learning Workloads for Improving Buffer Cache Performance

Analyzing Data Reference Characteristics of Deep Learning Workloads for Improving Buffer Cache Performance

Due to the recent growing data size of deep learning workloads, loading data from storage is increasingly becoming a performance bottleneck for neural network systems. In this article, we analyze the data reference characteristics of neural network workloads and observe that they are significantly d...

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Bibliographic Details
Main Authors: Jeongha Lee, Hyokyung Bahn
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
buffer cache
deep learning
data reference
data shuffling
neural network
performance
Online Access:https://www.mdpi.com/2076-3417/13/22/12102

Internet

https://www.mdpi.com/2076-3417/13/22/12102

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