Title:
Monitoring and Visualization in Cluster Environments
Monitoring and Visualization in Cluster Environments
Author(s)
Topol, Brad Byer
Stasko, John T.
Sunderam, Vaidy
Stasko, John T.
Sunderam, Vaidy
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Abstract
Cluster computing has evolved into a popular and effective mode of
high performance computing. Cluster environments are intrinsically
different from hardware multiprocessors, and hence require a different
approach to measuring and characterizing performance, monitoring an
application's progress, and understanding program behavior. In this
article, we present the design and implementation of PVaniM, an
experimental visualization environment we have developed for the PVM
network computing system. PVaniM supports a two-phase approach
whereby on-line visualization focuses on large-grained events that are
influenced by and relate to the dynamic cluster environment, and
postmortem visualization provides for detailed program analysis and
tuning. PVaniM's capabilities are illustrated via its use on several
applications and it is compared with other visualization environments
developed for cluster computing. Our experiences indicate that for
several classes of applications, the two-phase visualization scheme
can provide more insight into the behavior, efficiency, and operation
of distributed and parallel programs in cluster environments.
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Date Issued
1996
Extent
206093 bytes
Resource Type
Text
Resource Subtype
Technical Report