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UID:d4173c51-a100-49e8-a5a8-993c73d75c7f@support.access-ci.org
DTSTAMP:20251121T124142Z
DTSTART:20260430T180000Z
DTEND:20260430T193000Z
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
  first 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 HPC
  systems today. You will learn the basic hardware and software architectur
 e of these filesystems, their capabilities, and the typical use case(s) in
  HPC. We also provide an overview of relevant Linux command-line tools tha
 t will enable you to gather information about these filesystems, measure y
 our usage of their storage resources, and, if applicable, reconfigure them
  as needed for your specific research data and workload(s). Data backups, 
 security, and file permissions are also highlighted. Additional topics abo
 ut data storage and file systems will be covered as time permits.Instructo
 rMarty Kandes is a Senior Computational and Data Science Research Speciali
 st at the San Diego Supercomputer Center (SDSC). As part of the High-Perfo
 rmance Computing (HPC) User Services Group within the Data-Enabled Scienti
 fic Computing Division, he provides technical user support and services to
  the national research community leveraging the Advanced Cyberinfrasurctur
 e (CI) and HPC resources designed, built and operated by SDSC on behalf of
  the U.S. National Science Foundation (NSF). Marty is also a member of the
  National Artificial Intelligence (AI) Research Institute for Intelligent 
 CI with Computational Learning in the Environment (ICICLE). His current re
 search interests include problems in distributed AI inference over wireles
 s networks, data privacy in natural language processing, and secure intera
 ctive computing. He also contributes to many of the education, outreach, a
 nd training initiatives at SDSC, including serving as a Co-PI for the COMP
 rehensive Learning for end-users to Effectively utilize CyberinfraStructur
 e (COMPLECS) CyberTraining program and as mentor for the Research Experien
 ce for High School Students (REHS) program. Marty received his Ph.D. in C
 omputational Science from the Computational Science Research Center (CSRC)
  at San Diego State University (SDSU), where he studied quantum systems in
  rotating frames of reference through the use of numerical simulations. He
  also holds an M.S. in Physics from SDSU and dual B.S. degrees in Applied 
 Mathematics and Physics from the University of Michigan, Ann Arbor. See a
  complete list of SDSC's upcoming training and events here.--- COMPLECS (
 COMPrehensive Learning for end-users to Effectively utilize CyberinfraStru
 cture) is a new SDSC program where training will cover non-programming ski
 lls needed to effectively use supercomputers. Topics include parallel comp
 uting concepts, Linux tools and bash scripting, security, batch computing,
  how to get help, data management and interactive computing. Each session 
 offers 1 hour of instruction followed by a 30-minute Q&A. COMPLECS is supp
 orted by NSF award 2320934.
URL:https://support.access-ci.org/events/8718
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