SCHEDULE: NOV 10-16, 2012
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Parallel Particle Advection and FTLE Computation for Time-Varying Flow Fields
SESSION: Visualization and Analysis of Massive Data Sets
EVENT TYPE: Papers
TIME: 2:30PM - 3:00PM
SESSION CHAIR: Hank Childs
AUTHOR(S):Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka
ROOM:355-D
ABSTRACT:
Flow fields are an important product of scientific simulations. One popular flow visualization technique is particle advection, in which seeds are traced through the flow field. One use of these traces is to compute a powerful analysis tool called the Finite-Time Lyapunov Exponent (FTLE) field, but no existing particle tracing algorithms scale to the particle injection frequency required for high-resolution FTLE analysis. In this paper, a framework to trace the massive number of particles necessary for FTLE computation is presented. A new approach is explored, in which processes are divided into groups, and are responsible for mutually exclusive spans of time. This pipelining over time intervals reduces overall idle time of processes and decreases I/O overhead. Our parallel FTLE framework is capable of advecting hundreds of millions of particles at once, with performance scaling up to tens of thousands of processes.
Chair/Author Details:
Hank Childs (Chair) - Lawrence Berkeley National Laboratory
Boonthanome Nouanesengsy - Ohio State University
Teng-Yok Lee - Ohio State University
Kewei Lu - Ohio State University
Han-Wei Shen - Ohio State University
Tom Peterka - Argonne National Laboratory
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Parallel Particle Advection and FTLE Computation for Time-Varying Flow Fields
SESSION: Visualization and Analysis of Massive Data Sets
EVENT TYPE:
TIME: 2:30PM - 3:00PM
SESSION CHAIR: Hank Childs
AUTHOR(S):Boonthanome Nouanesengsy, Teng-Yok Lee, Kewei Lu, Han-Wei Shen, Tom Peterka
ROOM:355-D
ABSTRACT:
Flow fields are an important product of scientific simulations. One popular flow visualization technique is particle advection, in which seeds are traced through the flow field. One use of these traces is to compute a powerful analysis tool called the Finite-Time Lyapunov Exponent (FTLE) field, but no existing particle tracing algorithms scale to the particle injection frequency required for high-resolution FTLE analysis. In this paper, a framework to trace the massive number of particles necessary for FTLE computation is presented. A new approach is explored, in which processes are divided into groups, and are responsible for mutually exclusive spans of time. This pipelining over time intervals reduces overall idle time of processes and decreases I/O overhead. Our parallel FTLE framework is capable of advecting hundreds of millions of particles at once, with performance scaling up to tens of thousands of processes.
Chair/Author Details:
Hank Childs (Chair) - Lawrence Berkeley National Laboratory
Boonthanome Nouanesengsy - Ohio State University
Teng-Yok Lee - Ohio State University
Kewei Lu - Ohio State University
Han-Wei Shen - Ohio State University
Tom Peterka - Argonne National Laboratory
Click here to download .ics calendar file