¡@
python Programming Glossary: mp.cpu_countPython Multiprocessing storing data until further call in each process http://stackoverflow.com/questions/14437944/python-multiprocessing-storing-data-until-further-call-in-each-process target predict args large_object for i in range mp.cpu_count report_memory 'After Process' for p in procs p.start report_memory.. mp.Process target predict args large_object for i in range mp.cpu_count report_memory 'After Process' for p in procs p.start report_memory.. model procs mp.Process target predict for i in range mp.cpu_count report_memory 'After Process' for p in procs p.start for p in..
http://stackoverflow.com/questions/15966157/python-multi-processing and 'caller' like so def numpy_array data peaks processors mp.cpu_count #Might as well throw this directly in the mp.Pool just for clarity.. Note This function uses multi processing processors mp.cpu_count pool mp.Pool processes processors chunk_size int len peaks processors..
Using Python's Multiprocessing module to execute simultaneous and separate SEAWAT/MODFLOW model runs http://stackoverflow.com/questions/9874042/using-pythons-multiprocessing-module-to-execute-simultaneous-and-separate-seawa exe swt_nam if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system and other processes.. no Python error if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system and other processes.. threads threads Thread target worker args q for _ in range mp.cpu_count for t in threads t.daemon True # threads die if the program..
|