Title :
Performance evaluation of a seismic data analysis kernel on the KSR multiprocessors
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
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
Keywords :
data analysis; geophysical signal processing; geophysics computing; input-output programs; seismology; shared memory systems; software performance evaluation; 32-node KSR-1; 64-node KSR-2; I/O performance; KSR multiprocessors; applications; computational performance; geophysical signal processing; parallelised g5 kernel code; performance evaluation; seismic data analysis kernel; shared memory parallel machines; Artificial intelligence; Computer interfaces; Costs; Data analysis; Data processing; High performance computing; Kernel; Memory architecture; Petroleum; Writing;
Conference_Titel :
Parallel Processing Symposium, 1995. Proceedings., 9th International
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-7074-6
DOI :
10.1109/IPPS.1995.395914
