Publicações

Characterizing Deep-Learning I/O Workloads in Tensorflow

AuthID
P-00Q-C2B

Author(s)

Chien, SWD

Markidis, S

Sishtla, CP

Santos, L

Herman, P

Narasimhamurthy, S

Laure, E

Document Type

Proceedings Paper

Year published

2018

Published

in PROCEEDINGS OF 2018 IEEE/ACM 3RD JOINT INTERNATIONAL WORKSHOP ON PARALLEL DATA STORAGE & DATA INTENSIVE SCALABLE COMPUTING SYSTEMS (PDSW-DISCS)

Pages: 54-63 (10)

Conference

Ieee/Acm 3Rd Joint International Workshop on Parallel Data Storage and Data Intensive Scalable Computing Systems (Pdsw-Discs), Date: NOV 11-16, 2018, Location: Dallas, TX, Sponsors: IEEE, ACM, IEEE Comp Soc, TCHPC, Sighpc

Indexing

Wos^®

Scopus^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1109/pdsw-discs.2018.00011

Scopus: 2-s2.0-85063062239

Wos: WOS:000462205000006

Export Publication Metadata

Lista Marked

Adicionar à lista Marked

Info

At this moment we don't have any links to full text documens.

Characterizing Deep-Learning I/O Workloads in Tensorflow

Useful Links

Get Help

Autenticação Federada (Click on the image)

Characterizing Deep-Learning I/O Workloads in Tensorflow

Useful Links

Get Help