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DTSTART;TZID=America/Chicago:20181112T083000
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UID:submissions.supercomputing.org_SC18_sess251@linklings.com
SUMMARY:High Performance I/O Frameworks 101
DESCRIPTION:High Performance I/O Frameworks 101\n\nAs concurrency and comp
 lexity continue to increase on high-end machines, I/O performance is rapid
 ly 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 d...\n\n\nScott Klas
 ky (Oak Ridge National Laboratory), Qing Liu (New Jersey Institute of Tech
 nology), Manish Parashar (Rutgers University), Norbert Podhorszki and Davi
 d Pugmire (Oak Ridge National Laboratory), and Kesheng Wu (Lawrence Berkel
 ey National Laboratory)\n\nTag: Data Analytics, Data Management, I/O, Intr
 oductory, Visualization\n\nRegistration Category: Tutorial Reg Pass
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