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

Heller T, Lelbach BA, Huck KA, Biddiscombe J, Grubel P, Koniges AE, Kretz M, Marcello D, Pfander D, Serio A, Frank J, Clayton GC, Pflüger D, Eder D, Kaiser H (2019)

Publication Type: Journal article

Publication year: 2019

Journal

International Journal of High Performance Computing Applications SAGE Publications (UK and US)

Book Volume: 33

Pages Range: 699-715

Journal Issue: 4

DOI: 10.1177/1094342018819744

Abstract

We present 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 represents 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.

Authors with CRIS profile

Thomas Heller Lehrstuhl für Informatik 3 (Rechnerarchitektur)

Involved external institutions

Lawrence Berkeley National Laboratory (LBNL) US United States (USA) (US) The STEllAR Group US United States (USA) (US) Universität Stuttgart DE Germany (DE) Louisiana State University US United States (USA) (US) University of Oregon (UO) US United States (USA) (US) GSI Helmholtzzentrum für Schwerionenforschung GmbH DE Germany (DE) Lawrence Livermore National Laboratory US United States (USA) (US)

How to cite

APA:

Heller, T., Lelbach, B.A., Huck, K.A., Biddiscombe, J., Grubel, P., Koniges, A.E.,... Kaiser, H. (2019). Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. International Journal of High Performance Computing Applications, 33(4), 699-715. https://doi.org/10.1177/1094342018819744

MLA:

Heller, Thomas, et al. "Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars." International Journal of High Performance Computing Applications 33.4 (2019): 699-715.

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