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DTSTART:19700308T020000
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DTSTAMP:20181221T160731Z
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:Workshop\nParallel Programming Languages, Libraries, and Model
 s, Productivity, Workshop Reg Pass\n\nComputational Cosmology and Astrophy
 sics on Adaptive Meshes Using Charm++\n\nBordner, Norman\n\nAstrophysical 
 and cosmological phenomena involve a large variety of physical processes, 
 and can encompass an enormous range of scales. To effectively investigate 
 these phenomena computationally, applications must similarly support model
 ing these phenomena on enormous ranges of scales; furthermore, they must d
 o so efficiently on high-performance computing platforms of ever increasin
 g parallelism and complexity. We describe Enzo-P, a Petascale redesign of 
 the ENZO adaptive mesh refinement astrophysics and cosmology application, 
 along with Cello, a reusable and scalable adaptive mesh refinement framewo
 rk, on which Enzo-P is based. Cello’s scalability is enabled by the Charm+
 + Parallel Programming System, whose data-driven asynchronous execution mo
 del is ideal for taking advantage of the available parallelism in adaptive
  mesh refinement-based applications. We present weak scaling results on th
 e NSF Blue Waters supercomputer, and outline our future plans to bring Enz
 o-P to the exascale era by targeting highly-heterogeneous accelerator-base
 d platforms.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pawatm103&sess=ses
 s144
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