BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal//recurring_events_ical//2.0//EN
BEGIN:VEVENT
UID:9b0f88e0-076c-493e-92e4-5903bb3e6f11@support.access-ci.org
DTSTAMP:20250331T140853Z
DTSTART:20250515T180000Z
DTEND:20250515T193000Z
SUMMARY:COMPLECS: Data Storage and File Systems
DESCRIPTION:SummaryHigh-performance computing (HPC) systems often have mult
 iple specialized data storage and file systems mounted to them with differ
 ent capabilities and tiered levels of performance. How you read, write, an
 d store your data on them really matters. The correct use of a storage sys
 tem will help optimize the performance and throughput of your research wor
 kload(s). But perhaps more important and less obvious, the misuse and abus
 e of some types of filesystems by a single end-user can negatively impact 
 the collective performance of an entire HPC system for all users. Because 
 of this storage social dilemma, it is critically important for you to know
  what use cases and input and output (I/O) access patterns are appropriate
  for the type(s) of data storage and file systems available to you.In this
  second part of our series on Data Management, we introduce you to some of
  the more common data storage and file systems you’ll find mounted on HP
 C systems today. You will learn the basic hardware and software architectu
 re of these filesystems, their capabilities, and the typical use case(s) i
 n HPC. We also provide an overview of relevant Linux command-line tools th
 at will enable you to gather information about these filesystems, measure 
 your usage of their storage resources, and, if applicable, reconfigure the
 m as needed for your specific research data and workload(s). Data backups,
  security, and file permissions are also highlighted. Additional topics ab
 out data storage and file systems will be covered as time permits.Instruct
 orMarty Kandes a Computational and Data Science Research Specialist in the
  High-Performance Computing User Services Group at SDSC. He currently help
 s manage user support for Comet — SDSC’s largest supercomputer. Marty 
 obtained his Ph.D. in Computational Science in 2015 from the Computational
  Science Research Center at San Diego State University, where his research
  focused on studying quantum systems in rotating frames of reference throu
 gh the use of numerical simulation. He also holds an M.S. in Physics from 
 San Diego State University and B.S. degrees in both Applied Mathematics an
 d Physics from the University of Michigan, Ann Arbor. His current research
  interests include problems in Bayesian statistics, combinatorial optimiza
 tion, nonlinear dynamical systems, and numerical partial differential equa
 tions.See a full list of SDSC's upcoming training and events here.--- COM
 PLECS (COMPrehensive Learning for end-users to Effectively utilize Cyberin
 fraStructure) is a new SDSC program where training will cover non-programm
 ing skills needed to effectively use supercomputers. Topics include parall
 el computing concepts, Linux tools and bash scripting, security, batch com
 puting, how to get help, data management and interactive computing. Each s
 ession offers 1 hour of instruction followed by a 30-minute Q&A. COMPLECS 
 is supported by NSF award 2320934.
URL:https://support.access-ci.org/events/7896
END:VEVENT
END:VCALENDAR