Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks

Holmen, John K.; Humphrey, Alan; Sunderland, Daniel; Berzins, Martin

doi:10.1145/3093338.3093388

Title: Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks

Conference · Sat Jul 01 00:00:00 EDT 2017

DOI:https://doi.org/10.1145/3093338.3093388· OSTI ID:1582430

Holmen, John K. ^[1]; Humphrey, Alan ^[1]; Sunderland, Daniel ^[2]; Berzins, Martin ^[1]

Univ. of Utah, Salt Lake City, UT (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

The University of Utah’s Carbon Capture Multidisciplinary Simulation Center (CCMSC) is using the Uintah Computational Framework to predict performance of a 1000 MWe ultra-supercritical clean coal boiler. The center aims to utilize the Intel Xeon Phi-based DOE systems, Theta and Aurora, through the Aurora Early Science Program by using the Kokkos C++ library to enable node-level performance portability. This paper describes infrastructure advancements and portability improvements made possible by the integration of Kokkos within Uintah. This integration marks a step towards consolidating Uintah’s MPI+PThreads and MPI+CUDA hybrid parallelism approaches into a single MPI+Kokkos approach. Scalability results are presented that compare serial and data parallel task execution models for a challenging radiative heat transfer calculation, central to the center’s predictive boiler simulations. Here, these results demonstrate both good strong-scaling characteristics to 256 Knights Landing (KNL) processors on the NSF Stampede system, and show the KNL-based calculation to compete with prior GPU-based results for the same calculation.

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Research Organization:: Univ. of Utah, Salt Lake City, UT (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

DOE Contract Number:: NA0002375

OSTI ID:: 1582430

Resource Relation:: Conference: PEARC17: Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, New Orleans, LA (United States), Jul 2017

Country of Publication:: United States

Language:: English

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97 MATHEMATICS AND COMPUTING
Hybrid Parallelism
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Knights Landing
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MIC Parallel
Portability
Radiation Modeling
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Title: Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks

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