Using and Customization of Paraview for HPC Post Processing in Michelle

We present new visualization tools for the recently developed High Performance Computing (HPC) capability for the MICHELLE code. New HPC support has been implemented in the MICHELLE code in support of rapid device design and optimization. The adoption of HPC tools and the porting of the code to HPC...

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Bibliographic Details
Main Authors: Burke, Alex, Petillo, John, Ovtchinnikov, Serguei, Jensen, Aaron, Nelson, Eric, Stantchev, George, Cooke, Simon, Held, Ben, Nichols, Alan
Format: Conference Proceeding
Language:English
Subjects:
Codes
Computational modeling
High performance computing
Simulation
US Department of Defense
Visualization
Online Access:Request full text
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Summary:We present new visualization tools for the recently developed High Performance Computing (HPC) capability for the MICHELLE code. New HPC support has been implemented in the MICHELLE code in support of rapid device design and optimization. The adoption of HPC tools and the porting of the code to HPC platforms allows for high -resolution, large-scale models and simulations of multiple beam devices, such as MBK guns and MB-IOTs. Visual analysis and postprocessing of simulation results from such large-scale models is a computational challenge that requires advanced scientific visualization tools such as Para View, which was chosen for our program due to its flexibility to plug-in customization. To enhance usability and efficiency for new and existing MICHELLE users, a GUI plug-in to ParaView with MICHELLE-specific tools has been developed using the Qt GUI toolkit and Python. Here we present a description of the Qt plug-in with example problems, and a review of some Para View capabilities. Also presented is real-world benchmarking of HPC visualization performance using Para View's in client-server mode.
ISSN:2576-7208
DOI:10.1109/ICOPS35962.2018.9575902