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DTSTART;TZID=America/Denver:20231112T170500
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UID:submissions.supercomputing.org_SC23_sess434_ws_ftxs101@linklings.com
SUMMARY:When to Checkpoint at the End of a Fixed-Length Reservation?
DESCRIPTION:Quentin Barbut and Anne Benoit (ENS Lyon); Thomas Herault (Uni
 versity of Tennessee); Yves Robert (ENS Lyon, University of Tennessee); an
 d Frédéric Vivien (INRIA)\n\nConsider an application executing for a fixed
  duration. The checkpoint duration is a stochastic random variable that ob
 eys some well-known probability distribution law.  The question is when to
  take a checkpoint towards the end of the execution, so that the expectati
 on of the work done is maximized.  In the first scenario, a checkpoint can
  be taken at any time.\n\nWe provide the optimal solution for a variety of
   probability distribution laws modeling checkpoint duration.  In the seco
 nd scenario, the application is a chain of tasks  with IID stochastic exec
 ution times, and a checkpoint can be taken only at the end of a task.  Fir
 st, we introduce a static strategy where we compute the optimal number of 
 tasks before the checkpoint at the beginning of the execution. Then, we de
 sign a dynamic strategy that decides whether to checkpoint or to continue 
 execution at the end of each task.\n\nTag: Fault Handling and Tolerance, L
 arge Scale Systems\n\nRegistration Category: Workshop Reg Pass\n\nSession 
 Chairs: John Daly (US Department of Defense), Scott Levy (Sandia National 
 Laboratories), and Keita Teranishi (Oak Ridge National Laboratory (ORNL))\
 n\n
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