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DTSTAMP:20181221T160911Z
LOCATION:C141/143/149
DTSTART;TZID=America/Chicago:20181115T153000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess186@linklings.com
SUMMARY:File Systems: Data Movement and Provenance
DESCRIPTION:Paper\nArchitectures, Data Management, File Systems, Networks,
  State of the Practice, System Software, Workflows, Tech Program Reg Pass\
 n\nA Year in the Life of a Parallel File System\n\nLockwood, Snyder, Wang,
  Byna, Carns...\n\nI/O performance is a critical aspect of data-intensive 
 scientific computing.  We seek to advance the state of the practice in und
 erstanding and diagnosing I/O performance issues through investigation of 
 a comprehensive I/O performance data set that captures a full year of prod
 uction storage activity...\n\n---------------------\nDac-Man: Data Change 
 Management for Scientific Datasets on HPC Systems\n\nGhoshal, Ramakrishnan
 , Agarwal\n\nScientific data is growing rapidly and often changes due to i
 nstrument configurations, software updates, or quality assessments. These 
 changes in datasets can result in significant waste of compute and storage
  resources on HPC systems as downstream pipelines are reprocessed. Data ch
 anges need to be ...\n\n---------------------\nStacker: An Autonomic Data 
 Movement Engine for Extreme-Scale Data Staging-Based In Situ Workflows\n\n
 Subedi, Davis, Duan, Klasky, Kolla...\n\nData staging and in situ workflow
 s are being explored extensively as an approach to address data-related co
 sts at very large scales. However, the impact of emerging storage architec
 tures (e.g., deep memory hierarchies and burst buffers) upon data staging 
 solutions remains a challenge. In this paper,...\n
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