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DTSTART;TZID=America/Denver:20231112T091000
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UID:submissions.supercomputing.org_SC23_sess414_ws_hust102@linklings.com
SUMMARY:REMORA Resource Monitor: Usability, Performance, and User Interfac
 e Improvements
DESCRIPTION:Chun-Yaung Lu and Kent Milfeld (Texas Advanced Computing Cente
 r (TACC))\n\nThe paper presents improvements in Remora (REsource Monitorin
 g for Remote Applications), a user-oriented, lightweight system monitoring
  tool designed for modern HPC systems.  Assessing application performance 
 can be complicated.  Gathering metrics from various components may overwhe
 lm end users.  Hence, some HPC users might be able to make their applicati
 ons more performant if there are easy-to-use monitoring tools for non-HPC 
 experts.  Remora addresses this by providing simple tools for quick diagno
 stic assessments of an application’s resource usage, and offering flexible
  and adaptable workflow support.  The new release of REMORA v2 provides pe
 rformance updates and new features.  Other improvement include RemoraPy, a
  Python wrapper, and RP-Stats, a JupyterLab-based GUI, enhancing data coll
 ection, visualization, and analysis capabilities.\n\nTag: Programming Fram
 eworks and System Software\n\nRegistration Category: Workshop Reg Pass\n\n
 Session Chairs: Chris Bording (University of Western Australia); Elsa J. G
 onsiorowski (Lawrence Livermore National Laboratory (LLNL)); Lev Gorenstei
 n (Globus, University of Chicago); and Karen Tomko (Ohio Supercomputer Cen
 ter)\n\n
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