def __init__(self, max_processes, functions = {}):
"""
Creates the scheduler.
@param max_processes: Indeed is the total number of processes that will be used for the scheduling parallelization
plus one (which is representing the current process).
@param functions: @see SerialScheduler
"""
SerialScheduler.__init__(self,functions)
self.number_of_processes = max_processes - 1
self.running = []
def __init__(self, share_results_with_all_processes=False, functions={}):
"""
Creates an instance of this scheduler.
@param share_results_with_all_processes: If true, it will broadcast the final results
array so that all the processes have a copy of it.
@param functions: @see SerialScheduler
"""
SerialScheduler.__init__(self, functions)
self.comm = MPI.COMM_WORLD
self.rank = self.comm.Get_rank()
self.share_results_with_all_processes = share_results_with_all_processes
self.number_of_processes = self.comm.Get_size()
self.running = []
def __init__(self, share_results_with_all_processes = False, functions = {}):
"""
Creates an instance of this scheduler.
@param share_results_with_all_processes: If true, it will broadcast the final results
array so that all the processes have a copy of it.
@param functions: @see SerialScheduler
"""
SerialScheduler.__init__(self,functions)
self.comm = MPI.COMM_WORLD
self.rank = self.comm.Get_rank()
self.share_results_with_all_processes = share_results_with_all_processes
self.number_of_processes = self.comm.Get_size()
self.running = []
