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DTSTART;TZID=America/Chicago:20181112T112000
DTEND;TZID=America/Chicago:20181112T114500
UID:submissions.supercomputing.org_SC18_sess142_ws_pdsw114@linklings.com
SUMMARY:Evaluation of HPC Application I/O on Object Storage Systems
DESCRIPTION:Jialin Liu, Quincey Koziol, and Gregory F. Butler (Lawrence Be
 rkeley National Laboratory); Neil Fortner (HDF Group); Mohamad Chaarawi (I
 ntel Corporation); and Houjun Tang, Suren Byna, Glenn K. Lockwood, Ravi Ch
 eema, Kristy A. Kallback-Rose, Damian Hazen, and Mr Prabhat (Lawrence Berk
 eley National Laboratory)\n\nPOSIX-based parallel file systems provide str
 ong consistency semantics, which many modern HPC applications do not need 
 and do not want.  Object store technologies avoid POSIX consistency and ar
 e designed to be extremely scalable, for use in cloud computing and simila
 r commercial environments.  In this work, we evaluate three object store s
 ystems: Intel DAOS, Ceph RADOS, and Openstack Swift, and evaluate them wit
 h three HPC applications: VPIC, H5Boss, and BDCATS.  We have developed vir
 tual object layer (VOL) plugins for HDF5 that can redirect the application
 s' HDF5 calls to the underlying object storage systems' APIs, with minimum
  application code change.  Through our evaluation, we found that object st
 ores have better scalability in many cases than POSIX file systems, but ar
 e not optimized for common HPC use cases, such as collective I/O.  Underst
 anding current object store I/O details and limitations will enable us to 
 better design object stores for future HPC systems.\n\nTag: I/O, Storage\n
 \nRegistration Category: Workshop Reg Pass\n\n
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