sponsored byACMIEEE The International Conference for High Performance 
Computing, Networking, Storage and Analysis
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SCHEDULE: NOV 15-20, 2015

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Optimal Scheduling of In-Situ Analysis for Large-Scale Scientific Simulations

SESSION: In-Situ (Simulation Time) Analysis


EVENT TAG(S): Applications, Analytics, Scientific Computing, Simulation

TIME: 4:30PM - 5:00PM


AUTHOR(S):Preeti Malakar, Venkatram Vishwanath, Todd Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael Papka



Today's leadership computing facilities have enabled the execution of transformative simulations at unprecedented scales. However, analyzing the huge amount of output from these simulations remains a challenge. Most analyses of this output is performed in post-processing mode at the end of the simulation. The time to read the output for the analysis can be significantly high due to poor I/O bandwidth, which increases the end-to-end simulation-analysis time. Simulation-time analysis can reduce this end-to-end time. In this work, we present the scheduling of in-situ analysis as a numerical optimization problem to maximize the number of online analyses subject to resource constraints such as I/O bandwidth, network bandwidth, rate of computation and available memory. We demonstrate the effectiveness of our approach through two application case studies on the IBM Blue Gene/Q system.

Chair/Author Details:

Suren Byna (Chair) - Lawrence Berkeley National Laboratory|

Preeti Malakar - Argonne National Laboratory

Venkatram Vishwanath - Argonne National Laboratory

Todd Munson - Argonne National Laboratory

Christopher Knight - Argonne National Laboratory

Mark Hereld - Argonne National Laboratory

Sven Leyffer - Argonne National Laboratory

Michael Papka - Argonne National Laboratory

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society