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27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07)
Using stream queries to measure communication performance of a parallel computing environment
Toronto, Canada
June 22-June 29
ISBN: 0-7695-2838-4
ASCII Text
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Erik Zeitler, Tore Risch, "Using stream queries to measure communication performance of a parallel computing environment," Distributed Computing Systems Workshops, International Conference on, pp. 65, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007.
 
 
BibTex
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@article{ 10.1109/ICDCSW.2007.88,
author = {Erik Zeitler and Tore Risch},
title = {Using stream queries to measure communication performance of a parallel computing environment},
journal ={Distributed Computing Systems Workshops, International Conference on},
volume = {0},
year = {2007},
issn = {1545-0678},
pages = {65},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDCSW.2007.88},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Distributed Computing Systems Workshops, International Conference on
TI - Using stream queries to measure communication performance of a parallel computing environment
SN - 1545-0678
SP
EP
A1 - Erik Zeitler,
A1 - Tore Risch,
PY - 2007
KW - null
VL - 0
JA - Distributed Computing Systems Workshops, International Conference on
ER -
 
Erik Zeitler, Uppsala University, Sweden
Tore Risch, Uppsala University, Sweden
We have developed a data stream management system that supports declarative stream queries running over high data volumes in a supercomputing environment. To enable specification of massively parallel computations our query language provides processes as query language objects. The queries call process construction functions that execute stream sub-queries assigned to a CPU. Such queries can be used to define query functions that parallelize computations. The CPU assignment is normally automatic, but can also be influenced by the user. We show how this enables performance measurements of different communication topologies in a heterogeneous hardware environment containing a Linux cluster and a BlueGene.
Citation:
Erik Zeitler, Tore Risch, "Using stream queries to measure communication performance of a parallel computing environment," icdcsw, pp.65, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07), 2007
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