In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned

Mark Kim; James Kress; Jong Choi; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Kshitij Mehta; Kevin Huck; Berk Geveci; Sujin Phillip; Robert Maynard; Hanqi Guo; Tom Peterka; Kenneth Moreland; Choong Seock Chang; Julien Dominski; Michael Churchill; David Pugmire

doi:10.1007/978-3-030-02465-9_16

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned

Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong Seock Chang, Julien Dominski, Michael Churchill, David Pugmire

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.

Original language	English
Title of host publication	High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers
Editors	Michèle Weiland, John Shalf, Rio Yokota, Sadaf Alam
Publisher	Springer Verlag
Pages	230-242
Number of pages	13
ISBN (Print)	9783030024642
DOIs	https://doi.org/10.1007/978-3-030-02465-9_16
State	Published - 2018
Event	International Conference on High Performance Computing, ISC High Performance 2018 - Frankfurt, Germany Duration: Jun 28 2018 → Jun 28 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11203 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on High Performance Computing, ISC High Performance 2018
Country/Territory	Germany
City	Frankfurt
Period	06/28/18 → 06/28/18

Keywords

In situ
Scientific
Visualization

Access to Document

10.1007/978-3-030-02465-9_16

Cite this

Kim, M., Kress, J., Choi, J., Podhorszki, N., Klasky, S., Wolf, M., Mehta, K., Huck, K., Geveci, B., Phillip, S., Maynard, R., Guo, H., Peterka, T., Moreland, K., Chang, C. S., Dominski, J., Churchill, M., & Pugmire, D. (2018). In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. In M. Weiland, J. Shalf, R. Yokota, & S. Alam (Eds.), High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers (pp. 230-242). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11203 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-02465-9_16

Kim, Mark ; Kress, James ; Choi, Jong et al. / In Situ Analysis and Visualization of Fusion Simulations : Lessons Learned. High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers. editor / Michèle Weiland ; John Shalf ; Rio Yokota ; Sadaf Alam. Springer Verlag, 2018. pp. 230-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0a996dbdac7a4d06acfc27eb3a2e9a04,

title = "In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned",

abstract = "The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.",

keywords = "In situ, Scientific, Visualization",

author = "Mark Kim and James Kress and Jong Choi and Norbert Podhorszki and Scott Klasky and Matthew Wolf and Kshitij Mehta and Kevin Huck and Berk Geveci and Sujin Phillip and Robert Maynard and Hanqi Guo and Tom Peterka and Kenneth Moreland and Chang, {Choong Seock} and Julien Dominski and Michael Churchill and David Pugmire",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; International Conference on High Performance Computing, ISC High Performance 2018 ; Conference date: 28-06-2018 Through 28-06-2018",

year = "2018",

doi = "10.1007/978-3-030-02465-9_16",

language = "English",

isbn = "9783030024642",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "230--242",

editor = "Mich{\`e}le Weiland and John Shalf and Rio Yokota and Sadaf Alam",

booktitle = "High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers",

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Kim, M, Kress, J, Choi, J , Podhorszki, N , Klasky, S, Wolf, M, Mehta, K, Huck, K, Geveci, B, Phillip, S, Maynard, R, Guo, H, Peterka, T, Moreland, K, Chang, CS, Dominski, J, Churchill, M & Pugmire, D 2018, In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. in M Weiland, J Shalf, R Yokota & S Alam (eds), High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11203 LNCS, Springer Verlag, pp. 230-242, International Conference on High Performance Computing, ISC High Performance 2018, Frankfurt, Germany, 06/28/18. https://doi.org/10.1007/978-3-030-02465-9_16

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. / Kim, Mark; Kress, James; Choi, Jong et al.
High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers. ed. / Michèle Weiland; John Shalf; Rio Yokota; Sadaf Alam. Springer Verlag, 2018. p. 230-242 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11203 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - In Situ Analysis and Visualization of Fusion Simulations

T2 - International Conference on High Performance Computing, ISC High Performance 2018

AU - Kim, Mark

AU - Kress, James

AU - Choi, Jong

AU - Podhorszki, Norbert

AU - Klasky, Scott

AU - Wolf, Matthew

AU - Mehta, Kshitij

AU - Huck, Kevin

AU - Geveci, Berk

AU - Phillip, Sujin

AU - Maynard, Robert

AU - Guo, Hanqi

AU - Peterka, Tom

AU - Moreland, Kenneth

AU - Chang, Choong Seock

AU - Dominski, Julien

AU - Churchill, Michael

AU - Pugmire, David

PY - 2018

Y1 - 2018

N2 - The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.

AB - The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.

KW - In situ

KW - Scientific

KW - Visualization

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U2 - 10.1007/978-3-030-02465-9_16

DO - 10.1007/978-3-030-02465-9_16

M3 - Conference contribution

AN - SCOPUS:85066159848

SN - 9783030024642

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 230

EP - 242

BT - High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers

A2 - Weiland, Michèle

A2 - Shalf, John

A2 - Yokota, Rio

A2 - Alam, Sadaf

PB - Springer Verlag

Y2 - 28 June 2018 through 28 June 2018

ER -

Kim M, Kress J, Choi J , Podhorszki N , Klasky S, Wolf M et al. In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. In Weiland M, Shalf J, Yokota R, Alam S, editors, High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers. Springer Verlag. 2018. p. 230-242. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-02465-9_16

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned

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