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Title: La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers

Authors:
; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); USDOE Office of Science - Office of Advanced Scientific Computing Research
OSTI Identifier:
1466240
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Conference
Resource Relation:
Conference: 2018 EG Symposium on Parallel Graphics and Visualization, 06/04/18 - 06/04/18, Brno, CZ
Country of Publication:
United States
Language:
English

Citation Formats

Guo, Hanqi, Di, Sheng, Gupta, Rinku, Peterka, Tom, and Cappello, Franck. La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. United States: N. p., 2018. Web.
Guo, Hanqi, Di, Sheng, Gupta, Rinku, Peterka, Tom, & Cappello, Franck. La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers. United States.
Guo, Hanqi, Di, Sheng, Gupta, Rinku, Peterka, Tom, and Cappello, Franck. Mon . "La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers". United States.
@article{osti_1466240,
title = {La VALSE: Scalable Log Visualization for Fault Characterization in Supercomputers},
author = {Guo, Hanqi and Di, Sheng and Gupta, Rinku and Peterka, Tom and Cappello, Franck},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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