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UID:submissions.supercomputing.org_SC24_sess771_ws_hust101@linklings.com
SUMMARY:HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources 
 in the Cloud
DESCRIPTION:Marco A. S. Netto (Microsoft Corporation)\n\nCloud platforms a
 re increasingly being used to run HPC workloads. Major cloud providers off
 er a wide variety of virtual machine (VM) types, enabling users to find th
 e optimal balance between performance and cost. However, this extensive se
 lection of VM types can also present challenges, as users must decide not 
 only which VM types to use but also how many nodes are required for a give
 n workload. Although benchmarking data is available for well-known applica
 tions from major cloud providers, the choice of resources is also influenc
 ed by the specifics of the user's application input. This paper presents t
 he vision and current implementation of HPCAdvisor, a tool designed to ass
 ist users in defining their HPC clusters in the cloud. It considers the ap
 plication's input and utilizes a major cloud provider as a use case for it
 s back-end component.\n\nTag: State of the Practice, System Administration
 \n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Chris Bord
 ing (Pawsey Supercomputing Research Centre); Elsa J. Gonsiorowski (Lawrenc
 e Livermore National Laboratory (LLNL)); and Lev Gorenstein (Globus, Unive
 rsity of Chicago)\n\n
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