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9th International Parallel Processing Symposium
Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors
Santa Barbara, CA
April 25-April 28
ISBN: 0-8186-7074-6
ASCII Text
x 
 
W. Gu, "Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors," Parallel Processing Symposium, International, pp. 60, 9th International Parallel Processing Symposium, 1995.
 
 
BibTex
x
 
@article{ 10.1109/IPPS.1995.395914,
author = {W. Gu},
title = {Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors},
journal ={Parallel Processing Symposium, International},
volume = {0},
year = {1995},
issn = {1063-7133},
pages = {60},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPPS.1995.395914},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel Processing Symposium, International
TI - Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors
SN - 1063-7133
SP
EP
A1 - W. Gu,
PY - 1995
KW - data analysis; shared memory systems; software performance evaluation; seismology; geophysics computing; input-output programs; geophysical signal processing; seismology; seismic data analysis kernel; KSR multiprocessors; performance evaluation; applications; shared memory parallel machines; parallelised g5 kernel code; I/O performance; computational performance; 32-node KSR-1; 64-node KSR-2; geophysical signal processing
VL - 0
JA - Parallel Processing Symposium, International
ER -
 
W. Gu, Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
The paper presents the results of performance analyses of a seismic analysis kernel code on the KSR multiprocessors. The purpose of such analysis is to understand the performance behaviors of a class of applications on shared memory parallel machines. The g5 kernel code, commonly used in seismic analysis applications, is parallelized, and its computational and I/O performance is analyzed on a 32-node KSR-1 and a 64-node KSR-2.
Index Terms:
data analysis; shared memory systems; software performance evaluation; seismology; geophysics computing; input-output programs; geophysical signal processing; seismology; seismic data analysis kernel; KSR multiprocessors; performance evaluation; applications; shared memory parallel machines; parallelised g5 kernel code; I/O performance; computational performance; 32-node KSR-1; 64-node KSR-2; geophysical signal processing
Citation:
W. Gu, "Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors," ipps, pp.60, 9th International Parallel Processing Symposium, 1995
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