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python Programming Glossary: mp.poolUsing multiprocessing.Manager.list instead of a real list makes the calculation take ages http://stackoverflow.com/questions/13121790/using-multiprocessing-manager-list-instead-of-a-real-list-makes-the-calculation 25000 t randint 1 1000 for _ in range 4 # sleep 15 pool mp.Pool processes 4 result pool.starmap_async f l x for x in t print..
http://stackoverflow.com/questions/15966157/python-multi-processing mp.cpu_count #Might as well throw this directly in the mp.Pool just for clarity for now pool mp.Pool processes processors chunk_size.. this directly in the mp.Pool just for clarity for now pool mp.Pool processes processors chunk_size len peaks processors for i in.. uses multi processing processors mp.cpu_count pool mp.Pool processes processors chunk_size int len peaks processors map_parameters..
Can I use a multiprocessing Queue in a function called by Pool.imap? http://stackoverflow.com/questions/3827065/can-i-use-a-multiprocessing-queue-in-a-function-called-by-pool-imap as mp import time def f x return x x def main pool mp.Pool results pool.imap_unordered f range 1 6 time.sleep 1 print str.. str x time.sleep 0.1 return x x def main q mp.Queue pool mp.Pool results pool.imap_unordered f i q for i in range 1 6 print str.. q mp.Queue def f x q.put str x return x x def main pool mp.Pool results pool.imap_unordered f range 1 6 time.sleep 1 print q.get..
multiprocessing.Pool seems to work in Windows but not in ubuntu? http://stackoverflow.com/questions/6914240/multiprocessing-pool-seems-to-work-in-windows-but-not-in-ubuntu multiprocessing.Pool together with Pool.map_async pool mp.Pool processes nTasks # I have 12 threads six cores available so..
Parallel file matching, Python http://stackoverflow.com/questions/7623211/parallel-file-matching-python print fname # stop reading file just return return mp.Pool .map worker_search_fn files_to_search target share improve..
http://stackoverflow.com/questions/7865430/multiprocessing-pool-picklingerror-cant-pickle-type-thread-lock-attribu multiprocessing as mp import Queue def foo queue pass pool mp.Pool q Queue.Queue pool.map foo q yields this exception UnpickleableError.. i random.randrange 0 100 for i in range set_len pool mp.Pool results pool.map check_one data pool.close pool.join for result..
Use numpy array in shared memory for multiprocessing http://stackoverflow.com/questions/7894791/use-numpy-array-in-shared-memory-for-multiprocessing # write to arr from different processes with closing mp.Pool initializer init initargs shared_arr as p # many processes access..
Python multiprocessing.Pool: when to use apply, apply_async or map? http://stackoverflow.com/questions/8533318/python-multiprocessing-pool-when-to-use-apply-apply-async-or-map result def apply_async_with_callback pool mp.Pool for i in range 10 pool.apply_async foo_pool args i callback..
Chunking data from a large file for multiprocessing? http://stackoverflow.com/questions/8717179/chunking-data-from-a-large-file-for-multiprocessing this with the name column. return row 0 def main pool mp.Pool largefile 'test.dat' num_chunks 10 results with open largefile..
Python multiprocessing pickling error http://stackoverflow.com/questions/8804830/python-multiprocessing-pickling-error as mp class Foo @staticmethod def work self pass pool mp.Pool foo Foo pool.apply_async foo.work pool.close pool.join yields..
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 real os.system exe swt_nam if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system.. fails to even run no Python error if __name__ '__main__' p mp.Pool processes mp.cpu_count 1 # leave 1 processor available for system.. workdir if f.endswith '.npy' # start processes pool mp.Pool # use all available CPUs pool.map safe_run files if __name__..
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