TY - GEN
T1 - Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering
AU - Sanderson, Allen
AU - Humphrey, Alan
AU - Schmidt, John
AU - Sisneros, Robert
N1 - Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
PY - 2018
Y1 - 2018
N2 - Data analysis and visualization are an essential part of the scientific discovery process. As HPC simulations have grown, I/O has become a bottleneck, which has required scientists to turn to in situ tools for simulation data exploration. Incorporating additional data, such as runtime performance data, into the analysis or I/O phases of a workflow is routinely avoided for fear of excaberting performance issues. The paper presents how the Uintah Framework, a suite of HPC libraries and applications for simulating complex chemical and physical reactions, was coupled with VisIt, an interactive analysis and visualization toolkit, to allow scientists to perform parallel in situ visualization of simulation and runtime performance data. An additional benefit of the coupling made it possible to create a “simulation dashboard” that allowed for in situ computational steering and visual debugging.
AB - Data analysis and visualization are an essential part of the scientific discovery process. As HPC simulations have grown, I/O has become a bottleneck, which has required scientists to turn to in situ tools for simulation data exploration. Incorporating additional data, such as runtime performance data, into the analysis or I/O phases of a workflow is routinely avoided for fear of excaberting performance issues. The paper presents how the Uintah Framework, a suite of HPC libraries and applications for simulating complex chemical and physical reactions, was coupled with VisIt, an interactive analysis and visualization toolkit, to allow scientists to perform parallel in situ visualization of simulation and runtime performance data. An additional benefit of the coupling made it possible to create a “simulation dashboard” that allowed for in situ computational steering and visual debugging.
KW - Computational steering
KW - In situ visualization
KW - Runtime performance data
KW - Visual debugging
UR - http://www.scopus.com/inward/record.url?scp=85066153778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066153778&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02465-9_14
DO - 10.1007/978-3-030-02465-9_14
M3 - Conference contribution
AN - SCOPUS:85066153778
SN - 9783030024642
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 201
EP - 214
BT - High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers
A2 - Weiland, Michèle
A2 - Alam, Sadaf
A2 - Shalf, John
A2 - Yokota, Rio
PB - Springer
T2 - International Conference on High Performance Computing, ISC High Performance 2018
Y2 - 28 June 2018 through 28 June 2018
ER -