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. Hope this helps, Sebastian Haase On 10/9/07, David Cournapeau <[EMAIL PROTECTED]> wrote: > Ray S wrote: > > Is anyone sharing arrays between processes on Windows? > > I tried compiling the posh sources (once, so far) with the new MS > > toolkit and failed... > > What other solutions are in use? > > > > Have a second process create an array view from an address would > > suffice for this particular purpose. I could pass the address as a > > parameter of the second process's argv. > > > > I've also tried things like > > pb=pythonapi.PyBuffer_FromReadWriteMemory(9508824, 9*sizeof(c_int)) > > N.frombuffer(pb, N.int32) > > which fails since pb is and int. What are my options? > > > (disclaimer: I know nothing about windows idiosyncraties) > > Could not this be because you compiled the posh sources with a > compiler/runtime which is different than the other extensions and python > interpreter ? I don't know the details, but since most of the posix > functions related to files and processes are broken beyond despair in > windows, and in particular, many posix handles cannot cross dll > boundaries compiled by different compilers, I would not be surprised if > this cause some trouble. > > The fact that POSH is said to be posix-only on python.org > (http://wiki.python.org/moin/ParallelProcessing) would imply that people > do not care much about windows, too (but again, this is just from > reading what posh is about; I have never used it personnally). > > cheers, > > David > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion