BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000712Z
LOCATION:607
DTSTART;TZID=America/Denver:20231112T154800
DTEND;TZID=America/Denver:20231112T160600
UID:submissions.supercomputing.org_SC23_sess435_ws_pdsw108@linklings.com
SUMMARY:IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Syst
 ems
DESCRIPTION:Izzet Yildirim (Illinois Institute of Technology), Hariharan D
 evarajan (Lawrence Livermore National Laboratory (LLNL)), Anthony Kougkas 
 and Xian-He Sun (Illinois Institute of Technology), and Kathryn Mohror (La
 wrence Livermore National Laboratory (LLNL))\n\nI/O analysis is an essenti
 al task for improving the performance of scientific applications on high-p
 erformance computing (HPC) systems. However, current analysis tools, which
  often use data drilling techniques (iterative exploration for deeper insi
 ghts), treat every query independently and do not optimize column data for
  data-slicing (extracting specific data subsets), resulting in subpar quer
 ying performance. In this paper, we designed IOMax, a tool for efficient d
 ata drilling analysis on large-scale I/O traces. IOMax utilizes a novel qu
 ery optimization technique to improve the query performance by 8.6x while 
 reducing the memory footprint required for analysis by 11x. Additionally, 
 it employs data transformation techniques to improve data-slicing performa
 nce by up to 11.4x. In conclusion, IOMax optimizes I/O analysis for scient
 ific workflows on the Lassen supercomputer, resulting in up to 7x improvem
 ent.\n\nTag: Data Analysis, Visualization, and Storage, Data Movement and 
 Memory\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Sure
 n Byna (The Ohio State University, Lawrence Berkeley National Laboratory (
 LBNL)); Jay Lofstead (Sandia National Laboratories, University of New Mexi
 co); Bing Xie (Microsoft Corporation); and Amelie Chi Zhou (Hong Kong Bapt
 ist University)\n\n
END:VEVENT
END:VCALENDAR