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LOCATION:D168
DTSTART;TZID=America/Chicago:20181116T095000
DTEND;TZID=America/Chicago:20181116T100000
UID:submissions.supercomputing.org_SC18_sess144_ws_pawatm103@linklings.com
SUMMARY:Computational Cosmology and Astrophysics on Adaptive Meshes Using 
 Charm++
DESCRIPTION:James Bordner and Michael L. Norman (San Diego Supercomputer C
 enter; University of California, San Diego)\n\nAstrophysical and cosmologi
 cal phenomena involve a large variety of physical processes, and can encom
 pass an enormous range of scales. To effectively investigate these phenome
 na computationally, applications must similarly support modeling these phe
 nomena on enormous ranges of scales; furthermore, they must do so efficien
 tly on high-performance computing platforms of ever increasing parallelism
  and complexity. We describe Enzo-P, a Petascale redesign of the ENZO adap
 tive mesh refinement astrophysics and cosmology application, along with Ce
 llo, a reusable and scalable adaptive mesh refinement framework, on which 
 Enzo-P is based. Cello’s scalability is enabled by the Charm++ Parallel Pr
 ogramming System, whose data-driven asynchronous execution model is ideal 
 for taking advantage of the available parallelism in adaptive mesh refinem
 ent-based applications. We present weak scaling results on the NSF Blue Wa
 ters supercomputer, and outline our future plans to bring Enzo-P to the ex
 ascale era by targeting highly-heterogeneous accelerator-based platforms.\
 n\nTag: Parallel Programming Languages, Libraries, and Models, Productivit
 y\n\nRegistration Category: Workshop Reg Pass\n\n
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