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DTSTART;TZID=America/Denver:20231113T112900
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UID:submissions.supercomputing.org_SC23_sess450_ws_worksa103@linklings.com
SUMMARY:Scaling on Frontier:  Uncertainty Quantification Workflow Applicat
 ions Using ExaWorks to Enable Full System Utilization
DESCRIPTION:Mikhail Titov (Brookhaven National Laboratory); Robert Carson 
 (Lawrence Livermore National Laboratory (LLNL)); Matthew Rolchigo and John
  Coleman (Oak Ridge National Laboratory (ORNL)); James Belak (Lawrence Liv
 ermore National Laboratory (LLNL)); Matthew Bement (Oak Ridge National Lab
 oratory (ORNL)); Daniel Laney (Lawrence Livermore National Laboratory (LLN
 L)); and Matteo Turilli and Shantenu Jha (Rutgers University, Brookhaven N
 ational Laboratory)\n\nWhen running at scale, modern scientific workflows 
 require middleware to handle allocated resources, distribute computing pay
 loads and guarantee a resilient execution. While individual steps might no
 t require sophisticated control methods, bringing them together as a whole
  workflow requires advanced management mechanisms. In this work, we used R
 ADICAL-EnTK (Ensemble Toolkit) - one of the SDK components of the ECP ExaW
 orks project - to implement and execute the novel Exascale Additive Manufa
 cturing (ExaAM) workflows on up to 8000 compute nodes of the Frontier supe
 rcomputer at the Oak Ridge Leadership Computing Facility. EnTK allowed us 
 to address challenges such as varying resource requirements (e.g., heterog
 eneity, size, and runtime), different execution environment per workflow, 
 and fault tolerance. And a native portability feature of the developed EnT
 K applications allowed us to adjust these applications for Frontier runs p
 romptly, while ensuring an expected level of resource utilization (up to 9
 0%).\n\nTag: Data Analysis, Visualization, and Storage, Large Scale System
 s, Programming Frameworks and System Software, Reproducibility, Resource M
 anagement, Runtime Systems\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: Silvina Caino-Lores (National Institute for Research in Di
 gital Science and Technology (Inria)) and Anirban Mandal (Renaissance Comp
 uting Institute (RENCI), University of North Carolina at Chapel Hill)\n\n
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