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BEGIN:VEVENT
DTSTAMP:20260202T201251Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T100000
DTEND;TZID=America/Chicago:20251120T170000
UID:submissions.supercomputing.org_SC25_sess539_int_post102@linklings.com
SUMMARY:Why Read It All? Just Read What Matters: A Path to Faster Scientif
 ic Visualization
DESCRIPTION:Qing Zheng, Brian Atkinson, Jason Lee, and Gary Grider (Los Al
 amos National Laboratory (LANL))\n\nAs HPC simulations generate ever-large
 r datasets, reducing the volume of data that must be loaded into compute n
 ode memory for analysis has become essential for unlocking insights effici
 ently. In-storage analysis achieves this by processing data directly at th
 e storage servers, allowing them to return only compact results that match
  regions of interest instead of raw datasets that may be orders of magnitu
 de larger—significantly reducing data footprint.\n\nThis e-poster showcase
 s a novel compute-near-storage architecture based on pNFS that enables sec
 ure in-storage analysis of scientific data with industry-standard software
 , including Arrow, Parquet, Substrait, and DuckDB. Using a real-world aste
 roid impact dataset, we present a live demonstration of a VTK visualizatio
 n pipeline modified to offload analysis to pNFS data servers, tracing the 
 aftermath of the impact over time and rendering the results on the client 
 as 3D visuals. We show substantial data reduction by pushing down analysis
  and transmitting only insight-relevant information.\n\nTag: Research & AC
 M SRC Posters\n\nRecording: Not Livestreamed, Not Recorded\n\nRegistration
  Category: Technical Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN
  Center for Computational Science (R-CCS)); Chris Schlipalius (Pawsey Supe
 rcomputing Research Centre; Commonwealth Scientific and Industrial Researc
 h Organisation (CSIRO), Australia); and Anja Gerbes (Georg-August-Universi
 tät Göttingen)\n\n
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