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
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