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          GAMPI: GA for MPI task placement 
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This code is part of a project to optimize task placement on 
compute nodes of Titan at Oak Ridge Leadership Computing Facility. 
It implements a genetic algorithm on a distributed cluster using 
MPI communication. 


PLEASE ACKNOWLEDGE ANY USE OF THIS SOFTWARE AND CITE THE FOLLOWING REFERENCE:

Ramanan Sankaran, Jordan Angel and Mike Brown (2013) 
"Genetic Algorithm based Task Reordering to Improve the 
Performance of Batch Scheduled Massively Parallel Scientific Applications", 
submitted to Parallel Computing, systems and applications.