Work

Efficient I/O for Neural Network Training with Compressed Data

Year: 2020

Type: conference-paper

Source: IEEE International Parallel and Distributed Processing Symposium (IPDPS)

DOI: 10.1109/ipdps47924.2020.00050

Authors: Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster

Institutions: Texas Advanced Computing Center, The University of Texas at Austin, Argonne National Laboratory, University of Chicago

Language: English

Topic: Advanced Data Storage Technologies

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3043360281

FWCI: 1.049

Cites: 49

Cited by: 9

Related to: 10