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Title: Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1248604
Report Number(s):
SAND2015-2853PE
581942
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Meeting with Philippe Ricoux at Total in Paris held April 17, 2015 in Paris, France.
Country of Publication:
United States
Language:
English

Citation Formats

Chen, Jacqueline H. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.. United States: N. p., 2015. Web.
Chen, Jacqueline H. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.. United States.
Chen, Jacqueline H. Wed . "Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.". United States. doi:. https://www.osti.gov/servlets/purl/1248604.
@article{osti_1248604,
title = {Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.},
author = {Chen, Jacqueline H.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Apr 01 00:00:00 EDT 2015},
month = {Wed Apr 01 00:00:00 EDT 2015}
}

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.