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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 TYPE: Papers

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

TIME: 4:30PM - 5:00PM

SESSION CHAIR(S): Suren Byna

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

ROOM:18CD

ABSTRACT:

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