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:20260422T000713Z
LOCATION:401
DTSTART;TZID=America/Denver:20231112T083000
DTEND;TZID=America/Denver:20231112T170000
UID:submissions.supercomputing.org_SC23_sess218_tut106@linklings.com
SUMMARY:ADIOS-2: A Framework to Enable HPC Tools for Extreme Scale I/O, In
  Situ Visualization, and Performance Analysis
DESCRIPTION:Norbert Podhorszki, Scott Klasky, and Ana Gainaru (Oak Ridge N
 ational Laboratory (ORNL)); Caitlin Ross (Kitware, Inc); Kevin Huck (Unive
 rsity of Oregon); and Sameer Shende (University of Oregon; ParaTools, Inc.
 )\n\nAs concurrency and complexity continue to increase on high-end machin
 es, storage I/O performance is rapidly becoming a fundamental challenge to
  scientific discovery. At the exascale, online analysis will become a domi
 nant form of data analytics, and thus scalable in situ workflows will beco
 me critical, along with high performance I/O to storage. The many componen
 ts of a workflow running simultaneously pose another challenge of evaluati
 ng and improving the performance of these workflows. Therefore, performanc
 e data collection needs to be an integral part of the entire workflow. \n\
 nIn this tutorial, we present ADIOS-2 which allows for building in situ an
 d file-based data processing workflows for extreme scale systems, includin
 g interactive, on-demand, in situ visualization of the data, and including
  performance profiling of the entire workflow. Half of this tutorial will 
 be hands-on sessions, where we provide access to the software, and build t
 ogether a complete MiniApp with in situ analytics and performance analysis
  that users can run on their laptop and supercomputers at large scale. We 
 will show how ADIOS-2 is fully integrated into three popular visualization
  and performance tools: Jupyter Notebook, ParaView and TAU, creating a sof
 tware ecosystem for in situ processing of both performance and scientific 
 data.\n\nTag: Data Analysis, Visualization, and Storage, I/O and File Syst
 ems, Large Scale Systems, Performance Measurement, Modeling, and Tools\n\n
 Registration Category: Tutorial Reg Pass\n\n
END:VEVENT
END:VCALENDAR