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Design of a Framework for Combined Flexible and Efficient Simulation and In Situ Processing
DescriptionThis paper presents preliminary work on a new in situ tool design
that allows flexibility in the type of in situ processing. The design
goal is to be able to specify at run-time whether to run in-line in situ
or in transit and to allow switching dynamically between in-line
in situ processing and in transit processing. By allowing the run
to dynamically switch between these two modes, as dictated by
current compute requirements of both the simulation and the in
situ tool, the machine resources can be utilized most efficiently. The
design uses a framework, or inversion of control, approach where
the allocation of MPI processes to simulation and in situ tool is
controlled by the framework. Initial work demonstrates the ability
to switch from an in transit paradigm to an in-line in situ paradigm
with two separate simulation codes, using ParaView Catalyst as
the in situ engine.
that allows flexibility in the type of in situ processing. The design
goal is to be able to specify at run-time whether to run in-line in situ
or in transit and to allow switching dynamically between in-line
in situ processing and in transit processing. By allowing the run
to dynamically switch between these two modes, as dictated by
current compute requirements of both the simulation and the in
situ tool, the machine resources can be utilized most efficiently. The
design uses a framework, or inversion of control, approach where
the allocation of MPI processes to simulation and in situ tool is
controlled by the framework. Initial work demonstrates the ability
to switch from an in transit paradigm to an in-line in situ paradigm
with two separate simulation codes, using ParaView Catalyst as
the in situ engine.
Event Type
Workshop
TimeMonday, 13 November 202311am - 11:10am MST
Location506
Data Analysis, Visualization, and Storage
Large Scale Systems
Performance Measurement, Modeling, and Tools
W