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DTSTART:19700308T020000
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DTSTAMP:20260522T150115Z
LOCATION:C140/142
DTSTART;TZID=America/Chicago:20181114T110000
DTEND;TZID=America/Chicago:20181114T113000
UID:submissions.supercomputing.org_SC18_sess188_pap463@linklings.com
SUMMARY:Framework for Scalable Intra-Node Collective Operations Using Shar
 ed Memory
DESCRIPTION:Surabhi Jain, Rashid Kaleem, Marc Gamell Balmana, Akhil Langer
 , Dmitry Durnov, Alexander Sannikov, and Maria Garzaran (Intel Corporation
 )\n\nCollective operations are used in MPI programs to express common comm
 unication patterns, collective computations, or synchronizations. In many 
 collectives, such as barrier or allreduce, the intra-node component of the
  collective is in the critical path, as the inter-node communication canno
 t start until the intra-node component has been executed. Thus, with incre
 asing number of core counts in each node, intra-node optimizations that le
 verage the intra-node shared memory become increasingly important.\n\nIn t
 his paper, we focus on the performance benefit of optimizing intra-node co
 llectives using shared memory. We optimize several collectives using the p
 rimitives in broadcast and reduce as building blocks for other collectives
 . A comparison of our implementation on top of MPICH shows significant per
 formance speedups with respect to the original MPICH implementation, MVAPI
 CH, and OpenMPI, among others.\n\nTag: Architectures, MPI, Networks, Perfo
 rmance, Programming Systems, State of the Practice\n\nRegistration Categor
 y: Tech Program Reg Pass\n\nFinalist: BSP Finalist\n\nSession Chair: Srira
 m Krishnamoorthy (Google LLC)\n\n
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