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SCHEDULE: NOV 15-20, 2015

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Scaling Uncertainty Quantification Studies to Millions of Jobs

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Tamara L. Dahlgren, David Domyancic, Scott Brandon, Todd Gamblin, John Gyllenhaal, Rao Nimmakayala, Richard Klein

ROOM:Level 4 - Lobby


Computer simulations for evaluating impacts of parameters and assessing the likelihood of outcomes typically involve hundreds to millions of executions on hundreds of processors each and can take months to complete using current resources. Reducing the turn-around time by scaling concurrent simulation ensemble runs to millions of processors is hindered by resource constraints. Our poster describes a preliminary investigation of mitigating the impacts of these limitations in the LLNL Uncertainty Quantification Pipeline (UQP) using CRAM. CRAM virtualizes MPI by splitting a program into separate groups, each with its own sub-communicator for running a simulation. We launched a single process problem on all 1.6 million Sequoia cores in under 40 minutes versus 4.5 days. The small problem size resulted in 400,000 concurrent ensemble simulations. Preparations are underway to demonstrate using CRAM to maximize the number of simulations we can run within our allocated partition for an ensemble using a multi-physics package.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Tamara L. Dahlgren - Lawrence Livermore National Laboratory

David Domyancic - Lawrence Livermore National Laboratory

Scott Brandon - Lawrence Livermore National Laboratory

Todd Gamblin - Lawrence Livermore National Laboratory

John Gyllenhaal - Lawrence Livermore National Laboratory

Rao Nimmakayala - Lawrence Livermore National Laboratory

Richard Klein - Lawrence Livermore National Laboratory

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