Source code for pypdevs.allocators.autoAllocator

# Copyright 2014 Modelling, Simulation and Design Lab (MSDL) at 
# McGill University and the University of Antwerp (http://msdl.cs.mcgill.ca/)
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[docs]class AutoAllocator(object): """ Allocate all models in a static manner, simply trying to divide the number of models equally. Our 'heuristic' is to allocate in chunks as defined in the root coupled model. """
[docs] def allocate(self, models, edges, nr_nodes, total_activities): """ Calculate allocations for the nodes, using the information provided. :param models: the models to allocte :param edges: the edges between the models :param nr_nodes: the number of nodes to allocate over. Simply an upper bound! :param total_activities: activity tracking information from each model :returns: allocation that was found """ allocation = {} allocated_topmost = {} current_node = 0 total_models = len(models) for model in models: # Not yet allocated, so allocate it somewhere child = model searchmodel = model while searchmodel.parent is not None: child = searchmodel searchmodel = searchmodel.parent # searchmodel is now the root model # child is its 1st decendant, on which we will allocate try: node = allocated_topmost[child] except KeyError: current_node = (current_node + 1) % nr_nodes allocated_topmost[child] = current_node node = current_node allocation[model.model_id] = node return allocation
[docs] def getTerminationTime(self): """ Returns the time it takes for the allocator to make an 'educated guess' of the advised allocation. This time will not be used exactly, but as soon as the GVT passes over it. While this is not exactly necessary, it avoids the overhead of putting such a test in frequently used code. :returns: float -- the time at which to perform the allocations (and save them) """ # No need for any run time information return 0.0