I didn't find your python prices for Star-P. Or are there any chances for GPL/other free license for Python Star-P? Also, it would be interesting to see comparison numerical results of your product vs stackless python ( http://www.google.com.ua/search?q=stackless+python&ie=utf-8&oe=utf-8&aq=t&rls=com.ubuntu:en-US:official&client=firefox-a ) and/or all those paralles stuff http://www.scipy.org/Topical_Software#head-cf472934357fda4558aafdf558a977c4d59baecb All software developers say "our product is one of the best ones!" but I would prefer to see benchmark results before pay anything. Those mentioned stuff is free - and maybe difference with your Star-P in a cluster and/or for example my AMD Athlon X2 is insufficient? Regards, D.
Ronnie Hoogerwerf wrote: > I am an Application Engineer at Interactive Supercomputing and we are > rolling out a beta version of our Star-P product for Python. We are > actively looking for computationally intensive Python application to > port to Star-P. Star-P is a parallel application development platform > that allows users to tap into the power and memory of supercomputers > from the comfort of the favorite desktop applications, in this case > Python. > > > > Star-P is capable of both fine-grained parallel computation and > embarrassingly parallel computation. The fine-grained mode of our > Star-P Python implementation has been modeled on the Python NumPy > package - for example: > > > > x = starp.random.rand(20000,20000) > y = starp.linalg.inv(x) > > > > instead of > > > > x = numpy.random.rand(20000,20000) > y = numpy.linalg.inv(x) > > > > Where the first couple of lines are executed on the Star-P parallel > server in full C/MPI mode and the last couple of lines are executed on > the desktop using Python. > > > > The embarrassingly parallel mode is capable of executing > any Python module, although input and output parameters are currently > limited to NumPy arrays, scalars, and strings - for example: > > > > y = starp.ppeval(mymodule.dosomething,x) > > > > instead of > > > > for i in range(0,n): > y[:,:,i] = mymodule.dosomething(x[:,i]) > > > > Where again in the former example the iterations are spread out over > the available CPUs (note the abstraction - user need not worry > regarding the number of CPUs) on the Star-P server using Python and in > the latter the looping is doing in serial on the client using Python. > > > > We are looking for real Python application that you would be willing > to share with us that we can port to Star-P. We want to use this > experience as a basis for further improvements and development of > our Python client. > > > > Thanks, > Ronnie > > > > ------------------------------------------------------------------------ > > _______________________________________________ > 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
