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UID:submissions.supercomputing.org_SC23_sess303_rpost148@linklings.com
SUMMARY:High-Performance PMEM-Aware Collective I/Os
DESCRIPTION:Keegan Sanchez and Alex Gavin (Washington State University, Va
 ncouver); Suren Byna (Ohio State University); Kesheng Wu (Lawrence Berkele
 y National Laboratory (LBNL)); and Xuechen Zhang (Washington State Univers
 ity, Vancouver)\n\nCollective I/Os are widely used to transform small non-
 contiguous accesses into large contiguous accesses for parallel I/O optimi
 zation. The existing collective I/O techniques assume that computer memory
  is volatile. They are limited both by the size of the buffer, which must 
 be small so data is not lost during a crash, and the communication overhea
 d that occurs during collective I/O. PMIO is a proposed framework to utili
 ze persistent memory (PMEM) for collective I/O, as opposed to DRAM. First,
  we utilize a log-structured buffer to take advantage of the non-volatilit
 y of PMEM. Second, we utilize larger buffers to take advantage of the larg
 er space available on less expensive PMEM. Finally, we implement a two-pha
 se merging algorithm to eliminate the communication overhead. The poster p
 rovides an overview of collective I/O and its problems, an introduction to
  PMEM, an outline of PMIO, and a brief discussion of PMIO's performance.\n
 \nTag: Artificial Intelligence/Machine Learning, Architecture and Networks
 , Heterogeneous Computing, I/O and File Systems, Performance Measurement, 
 Modeling, and Tools, Post-Moore Computing, Programming Frameworks and Syst
 em Software, Quantum Computing\n\nRegistration Category: Tech Program Reg 
 Pass, Exhibits Reg Pass\n\n
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