Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN

Womeldorff, Geoffrey Alan; Payne, Joshua Estes; Bergen, Benjamin Karl

doi:10.1016/j.procs.2017.05.243

Title: Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN

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Abstract

SNAP is a proxy application which simulates the computational motion of a neutral particle transport code, PARTISN. Here in this work, we have adapted parts of SNAP separately; we have re-implemented the iterative shell of SNAP in the task-model runtime Legion, showing an improvement to the original schedule, and we have created multiple Kokkos implementations of the computational kernel of SNAP, displaying similar performance to the native Fortran. We then translate our Kokkos experiments in SNAP to PARTISN, necessitating engineering development, regression testing, and further thought.

Authors:

^[1]; Payne, Joshua Estes ^[1]; Bergen, Benjamin Karl ^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: 2017-06-09

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1418763

Report Number(s):: LA-UR-16-29442
Journal ID: ISSN 1877-0509

Grant/Contract Number:: AC52-06NA25396

Resource Type:: Accepted Manuscript

Journal Name:: Procedia Computer Science

Additional Journal Information:: Journal Volume: 108; Conference: International Conference on Computational Science 2017, Zurich (Switzerland), 12-14 Jun 2017; Journal ID: ISSN 1877-0509

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Womeldorff, Geoffrey Alan, Payne, Joshua Estes, and Bergen, Benjamin Karl. Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN.  United States: N. p., 2017. 
Web.  doi:10.1016/j.procs.2017.05.243.

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                    Womeldorff, Geoffrey Alan, Payne, Joshua Estes, & Bergen, Benjamin Karl. Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN.  United States.  https://doi.org/10.1016/j.procs.2017.05.243

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                    Womeldorff, Geoffrey Alan, Payne, Joshua Estes, and Bergen, Benjamin Karl. Fri .  
"Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN".  United States.  https://doi.org/10.1016/j.procs.2017.05.243.  https://www.osti.gov/servlets/purl/1418763.

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@article{osti_1418763,

  title        = {Taking Lessons Learned from a Proxy Application to a Full Application for SNAP and PARTISN},

  author       = {Womeldorff, Geoffrey Alan and Payne, Joshua Estes and Bergen, Benjamin Karl},

  abstractNote = {SNAP is a proxy application which simulates the computational motion of a neutral particle transport code, PARTISN. Here in this work, we have adapted parts of SNAP separately; we have re-implemented the iterative shell of SNAP in the task-model runtime Legion, showing an improvement to the original schedule, and we have created multiple Kokkos implementations of the computational kernel of SNAP, displaying similar performance to the native Fortran. We then translate our Kokkos experiments in SNAP to PARTISN, necessitating engineering development, regression testing, and further thought.},

  doi          = {10.1016/j.procs.2017.05.243},

  journal      = {Procedia Computer Science},

  number       = ,

  volume       = 108,

  place        = {United States},

  year         = {2017},

  month        = {6}

}

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