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DTSTAMP:20181221T160911Z
LOCATION:C147
DTSTART;TZID=America/Chicago:20181112T083000
DTEND;TZID=America/Chicago:20181112T170000
UID:submissions.supercomputing.org_SC18_sess251_tut161@linklings.com
SUMMARY:High Performance I/O Frameworks 101
DESCRIPTION:Tutorial\nData Analytics, Data Management, I/O, Introductory, 
 Visualization, Tutorial Reg Pass\n\nHigh Performance I/O Frameworks 101\n\
 nKlasky, Liu, Parashar, Podhorszki, Pugmire...\n\nAs concurrency and compl
 exity continue to increase on high-end machines, I/O performance is rapidl
 y becoming a fundamental challenge to achieving exascale computing. Wider 
 adoption of higher-level I/O abstractions will be critically important to 
 address this challenge. Modern I/O libraries provide data models, portable
  APIs, storage abstractions, and self-describing data containers. They ach
 ieve high performance and scalability, allow data to be managed more effec
 tively throughout the data lifecycle, and enable reproducible science. \n\
 nPart I of this tutorial will provide an overview of parallel I/O systems 
 and summarize the key techniques for obtaining high performance I/O on hig
 h-performance computing (HPC) resources at scale. Part II introduces ADIOS
  and HDF5 libraries, delving through their usage models and examples, show
 ing how to achieve high performance scalable I/O. Part III explains data c
 ompression. Part IV covers techniques for creating in situ analytics and t
 eaches how to generate visualization services using VTK-M.  Finally, Part 
 V will explain data indexing/querying and how to use the libraries to quer
 y data both in situ and on files. Over one half of this tutorial will be h
 ands-on sessions, where we provide access to the software and go through l
 ive examples.\n\nInstructions for installing software for the tutorial: ht
 tps://users.nccs.gov/~pnorbert/SC18Notes.pdf
URL:https://sc18.supercomputing.org/presentation/?id=tut161&sess=sess251
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