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Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars

Journal Article · · International Journal of High Performance Computing Applications
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [8];  [8];  [8];  [9];  [10];  [8]
  1. Univ. of Erlangen-Nuremberg (FAU), Bavaria (Germany)
  2. NVIDIA, Santa Clara, CA (United States)
  3. Univ. of Oregon, Eugene, OR (United States)
  4. National Supercomputing Centre, Lugano (Switzerland)
  5. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. GSI-Helmholtzzentrum fur Schwerionenforschung, Darmstadt (Germany)
  8. Louisiana State Univ., Baton Rouge, LA (United States)
  9. Univ. of Stuttgart, Baden-Württemberg (Germany)
  10. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
+ Show Author Affiliations

We propose a highly scalable demonstration of a portable asynchronous many-task programming model and runtime system applied to a grid-based adaptive mesh refinement hydrodynamic simulation of a double white dwarf merger with 14 levels of refinement that spans 17 orders of magnitude in astrophysical densities. The code uses the portable C++ parallel programming model that is embodied in the HPX library and being incorporated into the ISO C++ standard. The model reflects a significant shift from existing bulk synchronous parallel programming models under consideration for exascale systems. Through the use of the Futurization technique, seemingly sequential code is transformed into wait-free asynchronous tasks. We demonstrate the potential of our model by showing results from strong scaling runs on National Energy Research Scientific Computing Center’s Cori system (658,784 Intel Knight’s Landing cores) that achieve a parallel efficiency of 96.8% using billions of asynchronous tasks.

Research Organization:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
Contributing Organization:
The STE||AR Group
Grant/Contract Number:
89233218CNA000001; AC02-05CH11231; SC0008638; SC0008714; AC52-07NA27344
OSTI ID:
1524389
Report Number(s):
LA-UR--17-31311
Journal Information:
International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 4 Vol. 33; ISSN 1094-3420
Publisher:
SAGECopyright Statement
Country of Publication:
United States
Language:
English

References (10)

Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores journal August 2017
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New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection–Diffusion Equations journal May 2000
Angular momentum preserving cell-centered Lagrangian and Eulerian schemes on arbitrary grids journal June 2015
Legion: Expressing locality and independence with logical regions
  • Bauer, Michael; Treichler, Sean; Slaughter, Elliott
  • 2012 SC - International Conference for High Performance Computing, Networking, Storage and Analysis, 2012 International Conference for High Performance Computing, Networking, Storage and Analysis https://doi.org/10.1109/SC.2012.71
conference November 2012
X10: an object-oriented approach to non-uniform cluster computing
  • Charles, Philippe; Grothoff, Christian; Saraswat, Vijay
  • Proceedings of the 20th annual ACM SIGPLAN conference on Object oriented programming systems languages and applications - OOPSLA '05 https://doi.org/10.1145/1094811.1094852
conference January 2005
X10: an object-oriented approach to non-uniform cluster computing journal October 2005
Continuation-passing, closure-passing style conference January 1989
The Tau Parallel Performance System journal May 2006
Parallel Programmability and the Chapel Language journal August 2007

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Related Subjects

79 ASTRONOMY AND ASTROPHYSICS
97 MATHEMATICS AND COMPUTING
C++
HPX
asynchronous tasks
binary star merger
parallel runtime