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DTSTAMP:20181221T160726Z
LOCATION:D220
DTSTART;TZID=America/Chicago:20181111T140600
DTEND;TZID=America/Chicago:20181111T140900
UID:submissions.supercomputing.org_SC18_sess160_ws_whpc128@linklings.com
SUMMARY:Efficient Application of Low Mach Number Hydrodynamics Code to Ste
 llar Flows
DESCRIPTION:Workshop\nDiversity, Education, Hot Topics, Workshop Reg Pass\
 n\nEfficient Application of Low Mach Number Hydrodynamics Code to Stellar 
 Flows\n\nFan\n\nAstrophysical phenomena that occur in the low Mach number 
 regime are often computationally expensive because the time step is constr
 ained by both the characteristic fluid velocity and, by comparison, the mu
 ch larger speed of sound. In addition, astrophysical flows are generally h
 ighly turbulent, and considerable computational cost is required to resolv
 e the local flow in smaller regions of interest. We introduce MAESTROeX, a
  low Mach number hydrodynamics code for computing stellar flows that uses 
 the AMReX C++/F90 libraries and software structure. By filtering out the a
 coustic waves from the governing equations, MAESTROeX uses a time step con
 straint that is based only on the fluid velocity rather than the sound spe
 ed. It also incorporates adaptive mesh refinement (AMR) to efficiently inc
 rease spatial resolutions by locally refining the grid in the regions of i
 nterest. Additionally, to allow the proper capture of the effects of an ex
 panding star, MAESTROeX uses a novel one-dimensional radial base state who
 se evolution is coupled to the evolution of the full state. In our latest 
 attempt to improve the local hydrodynamic equilibrium errors caused by the
  radial base states, the base states are now computed at uneven intervals 
 as to directly map to the Cartesian grid. The performance and scalability 
 of MAESTROeX are evaluated on NERSC and OLCF systems scalable to over 100K
  cores. Future work includes improving the current algorithm and offloadin
 g simple subroutines to GPUs to increase computational efficiency, and inc
 orporating new physics into the system such as those needed for rotating s
 tars.
URL:https://sc18.supercomputing.org/presentation/?id=ws_whpc128&sess=sess1
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