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Title: Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility

Abstract

For the first time, an automatically triggered, between-pulse fusion science analysis codewas run on-demand at a remotely located supercomputer at Argonne Leadership Computing Facility (ALCF, Lemont, Illinois) in support of in-process experiments being performed at DIII-D (San Diego, California). This represents a new paradigm for combining geographically distant experimental and high-performance computing facilities to provide enhanced data analysis that is quickly available to researchers. Enhanced analysis improves the understanding of the current pulse, translating into a more efficient use of experimental resources and quality of the resultant science. The analysis code used here, called SURFMN, calculates the magnetic structure of the plasma using Fourier transform. Increasing the number of Fourier components provides a more accurate determination of the stochastic boundary layer near the plasma edge by better resolving magnetic islands, but requires 26 min to complete using local DIII-D resources, putting it well outside the useful time range for between-pulse analysis. These islands relate to confinement and edge-localized mode suppression, and may be controlled by adjusting coil currents for the next pulse. ALCF has ensured on-demand execution of SURFMN by providing a reserved queue, a specialized service that launches the code after receiving an automatic trigger, and network access frommore » the worker nodes for data transfer. Runs are executed on 252 cores of ALCF's Cooley cluster and the data are available locally at DIII-D within 3 min of triggering. The original SURFMNdesign limits additional improvements with more cores; however, our work shows a path forward where codes that benefit from thousands of processors can run between pulses.« less

Authors:
 [1];  [2];  [1];  [3];  [4];  [1]
  1. General Atomics, San Diego, California 92121
  2. Argonne National Laboratory, Lemont, Illinois 60439
  3. University of California San Diego, La Jolla, California 92093
  4. Argonne National Laboratory, Lemont, Illinois 60439; Northern Illinois University, DeKalb, Illinois 60115
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science - Office of Fusion Energy Sciences
OSTI Identifier:
1475553
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Fusion Science and Technology
Additional Journal Information:
Journal Volume: 74; Journal Issue: 1-2; Journal ID: ISSN 1536-1055
Publisher:
American Nuclear Society
Country of Publication:
United States
Language:
English
Subject:
high-performance computing; real-time queue; remote analysis

Citation Formats

Kostuk, M., Uram, T. D., Evans, T., Orlov, D. M., Papka, M. E., and Schissel, D. Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility. United States: N. p., 2018. Web. doi:10.1080/15361055.2017.1390388.
Kostuk, M., Uram, T. D., Evans, T., Orlov, D. M., Papka, M. E., & Schissel, D. Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility. United States. doi:10.1080/15361055.2017.1390388.
Kostuk, M., Uram, T. D., Evans, T., Orlov, D. M., Papka, M. E., and Schissel, D. Thu . "Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility". United States. doi:10.1080/15361055.2017.1390388.
@article{osti_1475553,
title = {Automatic Between-Pulse Analysis of DIII-D Experimental Data Performed Remotely on a Supercomputer at Argonne Leadership Computing Facility},
author = {Kostuk, M. and Uram, T. D. and Evans, T. and Orlov, D. M. and Papka, M. E. and Schissel, D.},
abstractNote = {For the first time, an automatically triggered, between-pulse fusion science analysis codewas run on-demand at a remotely located supercomputer at Argonne Leadership Computing Facility (ALCF, Lemont, Illinois) in support of in-process experiments being performed at DIII-D (San Diego, California). This represents a new paradigm for combining geographically distant experimental and high-performance computing facilities to provide enhanced data analysis that is quickly available to researchers. Enhanced analysis improves the understanding of the current pulse, translating into a more efficient use of experimental resources and quality of the resultant science. The analysis code used here, called SURFMN, calculates the magnetic structure of the plasma using Fourier transform. Increasing the number of Fourier components provides a more accurate determination of the stochastic boundary layer near the plasma edge by better resolving magnetic islands, but requires 26 min to complete using local DIII-D resources, putting it well outside the useful time range for between-pulse analysis. These islands relate to confinement and edge-localized mode suppression, and may be controlled by adjusting coil currents for the next pulse. ALCF has ensured on-demand execution of SURFMN by providing a reserved queue, a specialized service that launches the code after receiving an automatic trigger, and network access from the worker nodes for data transfer. Runs are executed on 252 cores of ALCF's Cooley cluster and the data are available locally at DIII-D within 3 min of triggering. The original SURFMNdesign limits additional improvements with more cores; however, our work shows a path forward where codes that benefit from thousands of processors can run between pulses.},
doi = {10.1080/15361055.2017.1390388},
journal = {Fusion Science and Technology},
issn = {1536-1055},
number = 1-2,
volume = 74,
place = {United States},
year = {2018},
month = {2}
}

Works referenced in this record:

Reconstruction of current profile parameters and plasma shapes in tokamaks
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A design retrospective of the DIII-D tokamak
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Real time equilibrium reconstruction for tokamak discharge control
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Overview of Edge-Localized Mode Control in Tokamak Plasmas
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Study of in-vessel nonaxisymmetric ELM suppression coil concepts for ITER
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Expanding the Scope of High-Performance Computing Facilities
journal, May 2016

  • Uram, Thomas D.; Papka, Michael E.
  • Computing in Science & Engineering, Vol. 18, Issue 3
  • DOI: 10.1109/MCSE.2016.53

Effect of island overlap on edge localized mode suppression by resonant magnetic perturbations in DIII-D
journal, May 2008

  • Fenstermacher, M. E.; Evans, T. E.; Osborne, T. H.
  • Physics of Plasmas, Vol. 15, Issue 5
  • DOI: 10.1063/1.2901064