Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer-Reference-Cited by-同舟云学术

Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer

Author:

Kurte Kuldeep¹^ORCID,Sanyal Jibonananda¹,Berres Anne¹,Lunga Dalton²,Coletti Mark²,Yang Hsiuhan Lexie²,Graves Daniel¹,Liebersohn Benjamin¹,Rose Amy²

Affiliation:

1. Computational Sciences and Engineering Division Oak Ridge National Laboratory Tennessee

2. National Security Emerging Technologies Division Oak Ridge National Laboratory Tennessee

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

Reference46 articles.

3. Analyzing the interplay of failures and workload on a leadership‐class supercomputer;Meneses E;Computing,2015

5. ChetlurS WoolleyC VandermerschP et al.cuDNN: efficient primitives for deep learning. CoRR.2014.https://arxiv.org/abs/1410.0759

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