shared

To add to @unutbu’s (not available anymore) and @Henry Gomersall’s answers. You could use shared_arr.get_lock() to synchronize access when needed: shared_arr = mp.Array(ctypes.c_double, N) # … def f(i): # could be anything numpy accepts as an index such another numpy array with shared_arr.get_lock(): # synchronize access arr = np.frombuffer(shared_arr.get_obj()) # no data copying arr[i] = … Read more