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DTSTAMP:20250626T234542Z
LOCATION:B309
DTSTART;TZID=America/New_York:20241117T140000
DTEND;TZID=America/New_York:20241117T143000
UID:submissions.supercomputing.org_SC24_sess736_ws_pdsw104@linklings.com
SUMMARY:Initial Experiences with DAOS Object Storage on Aurora
DESCRIPTION:Rob Latham, Robert Ross, Phillip Carns, Shane Snyder, Kevin Ha
 rms, Kaushik Velusamy, Paul Coffman, and Gordon McPheeters (Argonne Nation
 al Laboratory (ANL))\n\nThe storage subsystem of the Aurora platform at Ar
 gonne National Laboratory offers the potential for unprecedented applicati
 on I/O performance. Its hardware stack combines NVMe drives, persistent me
 mory devices, a large collection of storage servers, and a unified RDMA-ca
 pable network fabric. Its software stack is based on the DAOS object stora
 ge system, thereby putting into practice decades of I/O research into mini
 mizing overhead, maximizing access concurrency, and streamlining applicati
 on interfaces. Taken together, these elements combine to present up to 230
  PiB of projected storage capacity and up to 31 TiB/s of projected I/O thr
 oughput to applications executing on Aurora.\n\nWe must revisit fundamenta
 l issues such as hardware topology, network concurrency, and I/O APIs to u
 nderstand their impact on real-world I/O performance. In this paper we pre
 sent our initial experiences with the DAOS storage system on Aurora and ch
 aracterize its sensitivity to these parameters at small scale.\n\nTag: Dat
 a Movement and Memory, I/O, Storage, Archive\n\nRegistration Category: Wor
 kshop Reg Pass\n\nSession Chairs: Suren Byna (The Ohio State University, L
 awrence Berkeley National Laboratory (LBNL)); Dean Hildebrand (Google LLC)
 ; Anthony Kougkas (Illinois Institute of Technology, Argonne National Labo
 ratory (ANL)); Jay Lofstead (Sandia National Laboratories, University of N
 ew Mexico); and Bing Xie (Microsoft Corporation)\n\n
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