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DTSTAMP:20260422T000713Z
LOCATION:506
DTSTART;TZID=America/Denver:20231113T110000
DTEND;TZID=America/Denver:20231113T111000
UID:submissions.supercomputing.org_SC23_sess452_ws_isav102@linklings.com
SUMMARY:Design of a Framework for Combined Flexible and Efficient Simulati
 on and In Situ Processing
DESCRIPTION:Andrew Charles Bauer (US Army Corps of Engineers)\n\nThis pape
 r presents preliminary work on a new in situ tool design\nthat allows flex
 ibility in the type of in situ processing. The design\ngoal is to be able 
 to specify at run-time whether to run in-line in situ\nor in transit and t
 o allow switching dynamically between in-line\nin situ processing and in t
 ransit processing. By allowing the run\nto dynamically switch between thes
 e two modes, as dictated by\ncurrent compute requirements of both the simu
 lation and the in\nsitu tool, the machine resources can be utilized most e
 fficiently. The\ndesign uses a framework, or inversion of control, approac
 h where\nthe allocation of MPI processes to simulation and in situ tool is
 \ncontrolled by the framework. Initial work demonstrates the ability\nto s
 witch from an in transit paradigm to an in-line in situ paradigm\nwith two
  separate simulation codes, using ParaView Catalyst as\nthe in situ engine
 .\n\nTag: Data Analysis, Visualization, and Storage, Large Scale Systems, 
 Performance Measurement, Modeling, and Tools\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: E. Wes Bethel (San Francisco State Unive
 rsity, Lawrence Berkeley National Laboratory (LBNL)); Nicola Ferrier (Argo
 nne National Laboratory (ANL), University of Chicago); Axel Huebl (Lawrenc
 e Berkeley National Laboratory (LBNL)); Tom Vierjahn (Westphalian Universi
 ty of Applied Sciences); and Sean Ziegeler (US Department of Defense HPC M
 odernization Program, Department of Defense High Performance Computing Mod
 ernization Program (DoD HPCMP))\n\n
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