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Title: Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources

Abstract

© The Author(s) 2020. In January 2019, the US Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions (PRDs) for in situ data management (ISDM). A fundamental finding of this workshop is that the methodologies used to manage data among a variety of tasks in situ can be used to facilitate scientific discovery from many different data sources—simulation, experiment, and sensors, for example—and that being able to do so at numerous computing scales will benefit real-time decision-making, design optimization, and data-driven scientific discovery. This article describes six PRDs identified by the workshop, which highlight the components and capabilities needed for ISDM to be successful for a wide variety of applications—making ISDM capabilities more pervasive, controllable, composable, and transparent, with a focus on greater coordination with the software stack and a diversity of fundamentally new data algorithms.

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [5]; ORCiD logo [6];  [7];  [8]
+ Show Author Affiliations
  1. Argonne National Laboratory, Lemont, IL, USA
  2. National Energy Research Scientific Computing Center, Berkeley, CA, USA
  3. Sandia National Laboratories, Livermore, CA, USA
  4. Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  5. Sandia National Laboratories, Albuquerque, NM, USA
  6. Brookhaven National Laboratory, Upton, NY, USA
  7. Los Alamos National Laboratory, Los Alamos, NM, USA
  8. Oak Ridge National Laboratory, Oak Ridge, TN, USA
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1606603
Alternate Identifier(s):
OSTI ID: 1617316; OSTI ID: 1635099; OSTI ID: 1650112; OSTI ID: 1761657; OSTI ID: 1776768
Report Number(s):
SAND-2020-4034J; BNL-216074-2020-JAAM; LA-UR-20-28344
Journal ID: ISSN 1094-3420
Grant/Contract Number:  
AC04-94AL85000; AC02-06CH11357; NA0003525; AC02-05CH11231; 89233218CNA000001; SC0012704; AC05-00OR22725
Resource Type:
Published Article
Journal Name:
International Journal of High Performance Computing Applications
Additional Journal Information:
Journal Name: International Journal of High Performance Computing Applications; Journal ID: ISSN 1094-3420
Publisher:
SAGE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; data analysis; scientific workflows; in situ data management; computer science; high performance computing

Citation Formats

Peterka, Tom, Bard, Deborah, Bennett, Janine C., Bethel, E. Wes, Oldfield, Ron A., Pouchard, Line, Sweeney, Christine, and Wolf, Matthew. Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. United States: N. p., 2020. Web. doi:10.1177/1094342020913628.
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Peterka, Tom, Bard, Deborah, Bennett, Janine C., Bethel, E. Wes, Oldfield, Ron A., Pouchard, Line, Sweeney, Christine, & Wolf, Matthew. Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. United States. https://doi.org/10.1177/1094342020913628
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Peterka, Tom, Bard, Deborah, Bennett, Janine C., Bethel, E. Wes, Oldfield, Ron A., Pouchard, Line, Sweeney, Christine, and Wolf, Matthew. Fri . "Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources". United States. https://doi.org/10.1177/1094342020913628.
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@article{osti_1606603,
title = {Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources},
author = {Peterka, Tom and Bard, Deborah and Bennett, Janine C. and Bethel, E. Wes and Oldfield, Ron A. and Pouchard, Line and Sweeney, Christine and Wolf, Matthew},
abstractNote = {© The Author(s) 2020. In January 2019, the US Department of Energy, Office of Science program in Advanced Scientific Computing Research, convened a workshop to identify priority research directions (PRDs) for in situ data management (ISDM). A fundamental finding of this workshop is that the methodologies used to manage data among a variety of tasks in situ can be used to facilitate scientific discovery from many different data sources—simulation, experiment, and sensors, for example—and that being able to do so at numerous computing scales will benefit real-time decision-making, design optimization, and data-driven scientific discovery. This article describes six PRDs identified by the workshop, which highlight the components and capabilities needed for ISDM to be successful for a wide variety of applications—making ISDM capabilities more pervasive, controllable, composable, and transparent, with a focus on greater coordination with the software stack and a diversity of fundamentally new data algorithms.},
doi = {10.1177/1094342020913628},
journal = {International Journal of High Performance Computing Applications},
number = ,
volume = ,
place = {United States},
year = {Fri Mar 27 00:00:00 EDT 2020},
month = {Fri Mar 27 00:00:00 EDT 2020}
}
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https://doi.org/10.1177/1094342020913628
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