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Summary: BencHMAP: Benchmark-Based, Hardware and Model-Aware
Partitioning for Parallel and Distributed Network Simulation
Donghua Xu (xu@cc.gatech.edu)
Mostafa Ammar (ammar@cc.gatech.edu)
College of Computing, Georgia Institute of Technology
Atlanta, GA 30332 USA
.
Abstract
Computer simulation of large-scale and complex net-
works can be resource intensive. Several tools to paral-
lelize and distribute the simulation to a number of dif-
ferent machines have been developed. One of the main
challenges facing users of these tools is how to parti-
tion the simulation among the computing resources avail-
able. The focus of this paper is on the development of
a framework and methodology (ultimately leading to a
semi-automated tool) to partition network simulation.
The main distinguishing feature of our approach is that
the partitioning is performed in a manner that takes
into account the speci c distributed computation envi-
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