Hello, I'm using numpy-sharedmem <https://bitbucket.org/cleemesser/numpy-sharedmem> to allocate shared memory array across multiple cpu processes. However, after page locking it with register_host_memory, the shared memory is never cleared at exit. Below is a minimal example of this behavior on Ubuntu 16.04, python 2.7.12 and pycuda 2016.1.2:
import sharedmem import numpy as np from pycuda import autoinit import pycuda.driver as driver arr = sharedmem.zeros(10 ** 8, dtype=np.float32) arr = driver.register_host_memory(arr, flags=driver.mem_host_register_flags.DEVICEMAP) At exit, this shared memory array is not cleared. Unregistering the pagelocked memory beforehand doesn't work either. Also, I noticed that RegisteredHostMemory instance in arr.base, which according to the documentation <https://documen.tician.de/pycuda/driver.html#pycuda.driver.RegisteredHostMemory> should have base attribute containing the original array, doesn't actually have it. Is there a manual way of clearing this shared memory in pycuda that I'm missing? Thanks in advance, Jarek
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