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LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251118T080000
DTEND;TZID=America/Chicago:20251118T170000
UID:submissions.supercomputing.org_SC25_sess537_drs112@linklings.com
SUMMARY:Analytics4X: General-Purpose Framework for Analysis and Optimizati
 on of HPC Data Movement
DESCRIPTION:Ian Lumsden (University of Tennessee, Knoxville)\n\nAs scienti
 fic applications tackle more complex problems, data movement has also grow
 n in complexity to the point of slowing execution time and compromising ti
 me-to-solution, hindering the pace of scientific discovery. In this work, 
 we claim that, to continue to accelerate scientific discovery in the exasc
 ale era and beyond, we need a general-purpose, adaptable analytic framewor
 k for optimizing data movement in both monolithic and modular workflow-bas
 ed applications. To design this framework, we study data movement across t
 hree diverse HPC applications, deriving three key lessons learned that gui
 de the optimization of application I/O. First, profile-level performance a
 nalysis can be extended to reveal detailed data movement patterns. Second,
  middleware can substantially improve data movement efficiency for workflo
 ws by aligning I/O with workflow execution patterns. Third, matching I/O p
 hases to targeted storage systems can yield substantial performance gains,
  but requires phase-aware monitoring and tuning. We use these lessons lear
 ned to design features—fine-grained I/O filtering, middleware-level workfl
 ow analysis, and dynamic phase-to-storage mapping—that we integrate into t
 he general-purpose Analytics4X (A4X) framework to optimize performance acr
 oss a wide range of applications and I/O patterns.\n\nTag: Research & ACM 
 SRC Posters\n\nRecording: Not Livestreamed, Not Recorded\n\nRegistration C
 ategory: Technical Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN C
 enter for Computational Science (R-CCS)); Chris Schlipalius (Pawsey Superc
 omputing Research Centre; Commonwealth Scientific and Industrial Research 
 Organisation (CSIRO), Australia); and Anja Gerbes (Georg-August-Universitä
 t Göttingen)\n\n
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