Distributed processing for cinematic holographic particle image velocimetry

Author

Pu, Ye ; Andresen, Daniel

Author_Institution

Dept. of Mech. & Nucl. Eng., Kansas State Univ., Manhattan, KS, USA

fYear

1999

fDate

1999

Firstpage

343

Lastpage

344

Abstract

Recently the GEMINI Holographic Particle Image Velocimetry (HPIV) system developed in the Laser Flow Diagnostics (LFD) lab at Kansas State University has been successfully applied in volumetric 3D flow velocity measurement. Due to the 3D nature of this application, very large computation and communication requirements are imposed. An innovation algorithm, the Concise Cross Correlation (CCC), is employed in the system to extract velocity field from the hologram of the test flows. With CCC we achieved a compression ratio of 10⁴ and a processing speed 1000 times faster than with traditional 3D FFT-based correlation. To further accelerate the processing speed for fully time- and space-resolved measurement, parallel processing is necessary. We present our design for a distributed system supporting this previously unparallelized application, and comment on our experiences implementing a master-slave distributed version of CCC utilizing MPI. Brief experimental results on Gigabit Ethernet and multiprocessor Pentium Xeon systems are given

Keywords

computational fluid dynamics; holography; laser velocimetry; local area networks; message passing; optical correlation; parallel processing; particle velocity analysis; 3D nature; Concise Cross Correlation; GEMINI Holographic Particle Image Velocimetry system; Gigabit Ethernet; Laser Flow Diagnostics lab; cinematic holographic particle image velocimetry; communication requirements; compression ratio; distributed processing; distributed system; hologram; innovation algorithm; master-slave distributed version; multiprocessor Pentium Xeon systems; parallel processing; processing speed; space-resolved measurement; traditional 3D FFT-based correlation; unparallelized application; velocity field; very large computation; volumetric 3D flow velocity measurement; Acceleration; Computer applications; Distributed processing; Ethernet networks; Holography; Master-slave; Parallel processing; System testing; Technological innovation; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Distributed Computing, 1999. Proceedings. The Eighth International Symposium on

Conference_Location

Redondo Beach, CA

ISSN

1082-8907

Print_ISBN

0-7803-5681-0

Type

conf

DOI

10.1109/HPDC.1999.805319

Filename

805319