Sebastian Haase wrote: > Hi! > I was in fact experimenting with this. The solution seemed to lie in > "simple" memmap as it is implemented in Windows: > > import numpy as N > def arrSharedMemory(shape, dtype, tag="PriithonSharedMemory"): > """ > Windows only ! > share memory between different processes if same `tag` is used. > """ > itemsize = N.dtype(dtype).itemsize > count = N.product(shape) > size = count * itemsize > > import mmap > sharedmem = mmap.mmap(0, size, tag) > a=N.frombuffer(sharedmem, dtype, count) > a.shape = shape > return a > > For explaintion look up the microsoft site for the mmap documentation. > And/or the Python-doc for mmap. > (( I have to mention, that I could crash a process while testing this ... )) > > If anyone here would know an equivalent way of doing this on > Linux/OS-X we were back to a cross-platfrom function. > AFAIK, the tag thing is pretty much windows specific, so why not just ignoring it on non windows platforms ? (or interpreting the tag argument as the flag argument for mmap, which would be consistent with python mmap API ?)
cheers, David _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
