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UID:submissions.supercomputing.org_SC24_sess533_post131@linklings.com
SUMMARY:Simplifying HPC Resource Selection: A Tool for Optimizing Executio
 n Time and Cost on Azure
DESCRIPTION:Marco A. S. Netto, Wolfgang De Salvador, and Davide Vanzo (Mic
 rosoft Corporation)\n\nAzure Cloud offers a wide range of resources for ru
 nning HPC workloads, requiring users to configure their deployment by sele
 cting VM types, number of VMs, and processes per VM. Suboptimal decisions 
 may lead to longer execution times or additional costs for the user. We ar
 e developing an open-source tool to assist users in making these decisions
  by considering application input parameters, as they influence resource c
 onsumption. The tool automates the time-consuming process of setting up th
 e cloud environment, executing the benchmarking runs, handling output, and
  providing users with resource selection recommendations as high-level ins
 ights on run times and costs across different VM types and number of VMs. 
 In this work, we present initial results and insights on reducing the numb
 er of cloud executions needed to provide such guidance, leveraging data an
 alytics and optimization techniques with two well-known HPC applications: 
 OpenFOAM and LAMMPS.\n\nRegistration Category: Tech Program Reg Pass, Exhi
 bits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedrich-Alexander Univers
 ity, Erlangen-Nuremberg; Erlangen National High Performance Computing Cent
 er); Sally Ellingson (University of Kentucky); and Alan Sussman (Universit
 y of Maryland)\n\n
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