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DTSTAMP:20181221T160728Z
LOCATION:D163
DTSTART;TZID=America/Chicago:20181112T162000
DTEND;TZID=America/Chicago:20181112T164500
UID:submissions.supercomputing.org_SC18_sess142_ws_pdsw106@linklings.com
SUMMARY:Methodology for the Rapid Development of Scalable HPC Data Service
 s
DESCRIPTION:Workshop\nI/O, Storage, Workshop Reg Pass\n\nMethodology for t
 he Rapid Development of Scalable HPC Data Services\n\nDorier, Carns, Harms
 , Latham, Ross...\n\nGrowing evidence in the scientific computing communit
 y indicates that parallel file systems are not sufficient for all HPC stor
 age workloads.  This realization has motivated extensive research in new s
 torage system designs. The question of which design we should turn to impl
 ies that there could be a single answer satisfying a wide range of diverse
  applications. We argue that such a generic solution does not exist. Inste
 ad, custom data services should be designed and tailored to the needs of s
 pecific applications on specific hardware. Furthermore, custom data servic
 es should be designed in close collaboration with users. In this paper, we
  present a methodology for the rapid development of such data services. Th
 is methodology promotes the design of reusable building blocks that can be
  composed together efficiently through a runtime based on high-performance
  threading, tasking, and remote procedure calls. We illustrate the success
  of our methodology by showcasing three examples of data services designed
  from the same building blocks, yet targeting entirely different applicati
 ons.
URL:https://sc18.supercomputing.org/presentation/?id=ws_pdsw106&sess=sess1
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