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LOCATION:C155/156
DTSTART;TZID=America/Chicago:20181114T133000
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UID:submissions.supercomputing.org_SC18_sess287_pan103@linklings.com
SUMMARY:Runtime for Exascale and Beyond: Convergence or Divergence?
DESCRIPTION:Marc Snir (University of Illinois), Pavan Balaji (Argonne Nati
 onal Laboratory), Laxmikant Kale (University of Illinois), Vivek Sarkar (G
 eorgia Institute of Technology), Sean Treichler (Nvidia Corporation), Hart
 mut Kaiser (Louisiana State University), and Raymond Namyst (University of
  Bordeaux)\n\nWe propose to discuss in the panel the following three asser
 tions:\n\na) The coming decade is likely to see an accelerated evolution i
 n programming models for HPC, for several reasons:\n\n -- As Moore's law p
 lateaus, increased performance requires increasingly heterogeneous platfor
 ms and asynchronous algorithms. \n\n -- As platforms become more dynamic (
 e.g., due to dynamic power management) and algorithms become more adaptive
 , runtime adaptation is increasingly important.  Asynchronous Task Models 
 (ATM), such as Charm++, Legion, PaRSEC, etc., seem better suited to handle
  this evolution than the prevalent model of MPI+OpenMP. \n\nb) The potenti
 al benefits of new programming models cannot fully realized without a more
  powerful runtime that better integrates internode and intranode synchroni
 zation and communication with local resource scheduling and memory managem
 ent.\n\nc) The development and deployment of new programming models, as we
 ll as more efficient support for current models can be accelerated by stan
 dardizing new interfaces that enable such integration\n\nRegistration Cate
 gory: Tech Program Reg Pass\n\n
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