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DTSTAMP:20210916T132529Z
LOCATION:Lise Girardin
DTSTART;TZID=Europe/Stockholm:20210707T140000
DTEND;TZID=Europe/Stockholm:20210707T160000
UID:submissions.pasc-conference.org_PASC21_sess149@linklings.com
SUMMARY:Data Locality Challenges in Astrophysics Applications
DESCRIPTION:Minisymposium\n\nData locality on new and future generation pl
 atforms is expected to be of paramount importance for good performance. Ho
 wever, many applications in astrophysics are by nature multiphysics, invol
 ving multiple solvers with diverse data layouts and communication patterns
 . Additionally, because they can have a large dynamic range of scales, dif
 ferent resolutions in different parts of the domains are often necessary f
 or computational efficiency. Thus, the constraints placed on data manageme
 nt due to the physics models and their corresponding numerical methods can
  be at cross purposes with data locality. This mini-symposium will examine
  constraints on data locality for two major class of astrophysics applicat
 ions, cosmology and supernovae. For each class we include two types of dis
 cretization approaches, adaptive mesh refinement and smooth particle hydro
 dynamics, that have very different data layouts, access patterns and solve
 r characteristics.\n\nCRK-HACC: Next-Generation SPH Approach to Cosmologic
 al Hydrodynamics\n\nHeitmann, Frontiere\n\nA challenging requirement posed
  by next-generation cosmological surveys is a firm theoretical grasp of th
 e impact of baryons on structure formation. Hydrodynamic simulations model
 ing gas physics are vital in this regard. A high degree of modeling flexib
 ility exists in this space making it important ...\n\n--------------------
 -\nData Locality and Movement Issues in Extreme-Scale Radiation-Hydrodynam
 ic Simulations of Supernovae and Neutron Star Mergers\n\nMesser, Couch\n\n
 The panoply of physics that must be evolved in predictive simulations of c
 ore-collapse supernovae and neutron star mergers lead to marked  requ
 irements for effective strategies for data placement and movement. Load ba
 lancing for adaptive mesh refinement and data placement for GPU-accelerate
 d ph...\n\n---------------------\nCornerstone Octree: Space-Filling Curves
  Meet 3D Collision Detection in SPH and N-Body Problems\n\nKeller\n\nOctre
 es are an important data structure for various kinds of hierarchical parti
 cle-based simulations, including smoothed particle hydrodynamics in an ast
 rophysical context. Together with space-filling curve (SFC) algorithms, to
  which they are intimately related, octrees form the basis of domain deco.
 ..\n\n---------------------\nEnzo-E: An Exascale AMR Code for Self-Gravita
 ting Astrophysical Fluid Dynamics\n\nO'Shea, Norman, Bordner\n\nEnzo-E is 
 a new version of the Enzo adaptive mesh refinement fluid dynamics code (ht
 tp://enzo-project.org), which is widely used to study self-gravitating, mu
 ltiphysics astrophysical phenomena such as star and galaxy formation. 
 ; The Enzo-E code is based on the Charm++ parallel programming frame...\n\
 n\nDomain: CS and Math, Physics
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