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Title: Leading magnetic fusion energy science into the big-and-fast data lane

Abstract

To crack the code of unlimited clean energy from magnetic fusion, researchers collaborate among numerous facilities that are scattered around the globe. Probing hot fusion plasmas with sophisticated diagnostics, they routinely generate fast streams of high-dimensional time-series data. We present the adaptation of a production code-base for a plasma diagnostic to the big-and-fast data lane. The new code-base is used to stream measurements, made in Korea, into a Top-15 computing facility in the US for remote analysis. We discuss software and design choices made for this new HPC-enabled scientific workflow.

Authors:
 [1];  [1]; ; ; ;  [1]; ;
  1. Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Publication Date:
Research Org.:
Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1668037
DOE Contract Number:
AC02-09CH11466
Resource Type:
Multimedia
Resource Relation:
Conference: Scientific Computing with Python - SciPy 2020, July 6-12, 2020
Country of Publication:
United States
Language:
English

Citation Formats

Kube, Ralph, Churchill, R.M., Choi, JY, Wang, R, Klasky, S, Chang, C.S., Choi, MJ, and Park, J. Leading magnetic fusion energy science into the big-and-fast data lane. United States: N. p., 2020. Web. doi:10.2172/1668037.
Kube, Ralph, Churchill, R.M., Choi, JY, Wang, R, Klasky, S, Chang, C.S., Choi, MJ, & Park, J. Leading magnetic fusion energy science into the big-and-fast data lane. United States. doi:https://doi.org/10.2172/1668037
Kube, Ralph, Churchill, R.M., Choi, JY, Wang, R, Klasky, S, Chang, C.S., Choi, MJ, and Park, J. Wed . "Leading magnetic fusion energy science into the big-and-fast data lane". United States. doi:https://doi.org/10.2172/1668037. https://www.osti.gov/servlets/purl/1668037.
@article{osti_1668037,
title = {Leading magnetic fusion energy science into the big-and-fast data lane},
author = {Kube, Ralph and Churchill, R.M. and Choi, JY and Wang, R and Klasky, S and Chang, C.S. and Choi, MJ and Park, J},
abstractNote = {To crack the code of unlimited clean energy from magnetic fusion, researchers collaborate among numerous facilities that are scattered around the globe. Probing hot fusion plasmas with sophisticated diagnostics, they routinely generate fast streams of high-dimensional time-series data. We present the adaptation of a production code-base for a plasma diagnostic to the big-and-fast data lane. The new code-base is used to stream measurements, made in Korea, into a Top-15 computing facility in the US for remote analysis. We discuss software and design choices made for this new HPC-enabled scientific workflow.},
doi = {10.2172/1668037},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {7}
}

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