Abstracts
Using On-line Job Monitoring for Dynamic Load Balancing of Parallel Applications
While the significance of the communication costs for
the performance of parallel applications is well known, these
costs are hardly considered in the known resource management
systems for workstation clusters. In this paper we present the
Cluster Search Algorithm (CSA) for dynamic remapping of parallel
applications in clusters. The novelty of our approach is that
the communication behavior of the application does not have to
be known a priori. The decisions are made dynamically at run
time according to the actually observed communication behavior
of the application and available resources. We present first
simulation results and an overview over an actual
implementation.
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