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DTSTART;TZID=America/Chicago:20251117T090500
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UID:submissions.supercomputing.org_SC25_sess217_misc109@linklings.com
SUMMARY:Invited Talk: Globus: Enabling Scalable and Sustainable Research f
 or Data-Intensive Science
DESCRIPTION:Kyle Chard (University of Chicago, Argonne National Laboratory
  (ANL))\n\nScientific research increasingly depends on the movement, manag
 ement, and analysis of massive data volumes. Globus, a widely used researc
 h IT platform, addresses these needs by providing secure, reliable, and hi
 gh-performance capabilities for data management, computation, and workflow
 s across global research cyberinfrastructure. Serving more than 700,000 re
 searchers and applications across 60,000 active data collections in over 8
 0 countries, Globus has become a critical enabler of data-intensive scienc
 e. In this talk, I will highlight two ways in which Globus supports innova
 tion and sustainability in research computing. First, I will describe a fr
 amework built on Globus that integrates error-bounded lossy compression in
 to data transfers, using machine learning-based quality estimation and opt
 imized transfer strategies to achieve performance improvements while maint
 aining user-specified quality. Second, I will discuss how Globus itself pr
 ovides a model for sustainable research software, via hybrid cloud and "fr
 eemium" subscription approaches that balance accessibility with long-term 
 viability.\n\nRecording: Livestreamed, Recorded\n\nRegistration Category: 
 Technical Program Reg Pass, Workshop Reg Pass\n\nSession Chairs: Sheng Di 
 (Argonne National Laboratory (ANL), University of Chicago); Ana Gainaru (O
 ak Ridge National Laboratory (ORNL)); Kento Sato (RIKEN Center for Computa
 tional Science (R-CCS)); Xin Liang (University of Kentucky); and Jieyang C
 hen (University of Oregon)\n\n
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