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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Particle Tracking in Open Simulation Laboratories

SESSION: Applications: Climate and Weather


TIME: 2:30PM - 3:00PM

SESSION CHAIR(S): Daniel S. Katz

AUTHOR(S):Kalin Kanov, Randal Burns



Particle tracking along streamlines and pathlines is a common scientific analysis technique, which has demanding data, computation and communication requirements.
It has been studied in the context of high-performance computing due to the difficulty in its efficient parallelization and its high demands on communication and computational load. In this paper, we study efficient evaluation methods for particle tracking in open simulation laboratories. Simulation laboratories have a fundamentally different architecture from today's supercomputers and provide publicly-available analysis functionality. We focus on the I/O demands of particle tracking for numerical simulation datasets 100s of TBs in size. We compare data-parallel and task-parallel approaches for the advection of particles and show scalability results on data-intensive workloads from a live production environment. We have developed particle tracking capabilities for the Johns Hopkins Turbulence Databases, which store computational fluid dynamics simulation data, including forced isotropic turbulence, magnetohydrodynamics, channel flow turbulence and homogenous buoyancy-driven turbulence.

Chair/Author Details:

Daniel S. Katz (Chair) - University of Chicago and Argonne National Laboratory|

Kalin Kanov - Johns Hopkins University

Randal Burns - Johns Hopkins University

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Paper provided by the ACM Digital Library

Paper also available from IEEE Computer Society