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Performance Engineering and Mesoscale-Microscale Coupling for Wind Energy Simulations
DescriptionWind farm simulations require data from mesoscale atmospheric simulations as initial and boundary conditions for the microscale turbine environments. The Energy Research and Forecasting (ERF) code bridges this scale gap and provides an efficient GPU-enabled parallel implementation with adaptive mesh refinement through the underlying AMReX framework. This poster outlines strategies that reduce the communication overhead among parallel processes through run time settings or systemic changes in the memory management. This includes using shared-memory parallelism over CPUs, enabling direct GPU-GPU data transfers, and implementing a separate memory pool on the GPU for communication buffers. I will present the performance scaling and improvements from these techniques as part of the poster. We are currently developing an in-memory coupling of the compressible flow ERF code with the incompressible turbine solver ExaWind, which will allow holistic wind farm simulations.
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
Registration Categories
TP
XO/EX