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DTSTAMP:20260422T000712Z
LOCATION:607
DTSTART;TZID=America/Denver:20231112T145000
DTEND;TZID=America/Denver:20231112T145500
UID:submissions.supercomputing.org_SC23_sess435_ws_pdswwip104@linklings.co
 m
SUMMARY:DAOS as HPC Storage:  Exploring Interfaces
DESCRIPTION:Adrian Jackson (University of Edinburgh) and Nicolau Nicolau M
 anubens (European Centre for Medium-Range Weather Forecasts (ECMWF))\n\nWe
  present preliminary results of research investigating how the DAOS object
  store performs under a range of different object class configurations, da
 ta access interfaces, and application usage patterns. We demonstrate that 
 good performance can be achieved for a number of different approaches usin
 g DAOS but that interface choice and configuration do impact achievable I/
 O bandwidth.\n\nTag: Data Analysis, Visualization, and Storage, Data Movem
 ent and Memory\n\nRegistration Category: Workshop Reg Pass\n\nSession Chai
 rs: Suren Byna (The Ohio State University, Lawrence Berkeley National Labo
 ratory (LBNL)); Jay Lofstead (Sandia National Laboratories, University of 
 New Mexico); Bing Xie (Microsoft Corporation); and Amelie Chi Zhou (Hong K
 ong Baptist University)\n\n
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