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Title: Programmable In Situ System for Iterative Workflows

Abstract

We describe an in situ system for solving iterative problems. We specifically target inverse problems, where expensive simulations are approximated using a surrogate model. The model explores the parameter space of the simulation through iterative trials, each of which becomes a job managed by a parallel scheduler. Our work extends Henson [1], a cooperative multi-tasking system for in situ execution of loosely coupled codes.

Authors:
 [1];  [2];  [2]
  1. Georgia Inst. of Technology, Atlanta, GA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory-National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1545793
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Conference
Resource Relation:
Conference: Workshop on Job Scheduling Strategies for Parallel Processing. In: Job Scheduling Strategies for Parallel Processing
Country of Publication:
United States
Language:
English

Citation Formats

Lohrmann, Erich, Lukić, Zarija, and Morozov, Dmitriy. Programmable In Situ System for Iterative Workflows. United States: N. p., 2018. Web. doi:10.1007/978-3-319-77398-8_7.
Lohrmann, Erich, Lukić, Zarija, & Morozov, Dmitriy. Programmable In Situ System for Iterative Workflows. United States. doi:10.1007/978-3-319-77398-8_7.
Lohrmann, Erich, Lukić, Zarija, and Morozov, Dmitriy. Mon . "Programmable In Situ System for Iterative Workflows". United States. doi:10.1007/978-3-319-77398-8_7.
@article{osti_1545793,
title = {Programmable In Situ System for Iterative Workflows},
author = {Lohrmann, Erich and Lukić, Zarija and Morozov, Dmitriy},
abstractNote = {We describe an in situ system for solving iterative problems. We specifically target inverse problems, where expensive simulations are approximated using a surrogate model. The model explores the parameter space of the simulation through iterative trials, each of which becomes a job managed by a parallel scheduler. Our work extends Henson [1], a cooperative multi-tasking system for in situ execution of loosely coupled codes.},
doi = {10.1007/978-3-319-77398-8_7},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Conference:
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