Object Storage for Deep Learning Frameworks

被引：4

作者：

Ozeri, Or ^{[1
]}

Ofer, Effi ^{[1
]}

Kat, Ronen ^{[1
]}

机构：

[1] IBM Res, Haifa, Israel

来源：

DIDL'18: PROCEEDINGS OF THE SECOND WORKSHOP ON DISTRIBUTED INFRASTRUCTURES FOR DEEP LEARNING | 2018年

关键词：

Machine Learning; Deep Learning; Object Storage;

D O I：

10.1145/3286490.3286562

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The advent of big datasets and high speed GPUs is fueling the growth in machine and deep learning techniques. In this paper we explore storing the training data in object storage and demonstrate how this can be done effectively while providing sufficient throughput to high performance GPUs.

引用

页码：21 / 24

页数：4

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