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Special Forums UNIX and Linux Applications High Performance Computing Programming parallel for C++ and Python application Post 302775393 by figaro on Monday 4th of March 2013 05:47:49 PM
Old 03-04-2013
Programming parallel for C++ and Python application

I am looking to have a C++ and Python application developed using the processing power of at least one GPU.
We are already using Boost, so Boost.MPI comes to mind.
We already have some experience in developing C++ applications for multi-core CPUs by using threading.
However, since we have not developed sufficient expertise in MPI, we were wondering if a Python solution would be more appropriate, because it will give the developers a better understanding of what the code does. In such a case something like mpi4py would come to mind.

Of course having a GPU specifically for simulation purposes could mean that something like PyOpenCL may be even better.
I mention "simulation", because the machine will be calculating variations on what is largely the same problem, ie not be a general purpose machine.

So in summary:
1- For raw processing speed with a multi-core CPU and a GPU, would a openCL solution or Boost.MPI solution be recommended?
2- Should the Python solution be used only for high level functionality, such as handling data upon return, or does Python compromise speed too much?
 

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Ns_Url(3aolserver)					   AOLserver Library Procedures 					Ns_Url(3aolserver)

__________________________________________________________________________________________________________________________________________________

NAME
Ns_AbsoluteUrl, Ns_ParseUrl, Ns_RelativeUrl, Ns_SkipUrl - URL manipulation routines SYNOPSIS
#include "ns.h" int Ns_AbsoluteUrl(Ns_DString *pds, char *url, char *baseurl) int Ns_ParseUrl(char *url, char **pprotocol, char **phost, char **pport, char **ppath, char **ptail) char * Ns_RelativeUrl(char *url, char *location) char * Ns_SkipUrl(Ns_Request *request, int n) _________________________________________________________________ DESCRIPTION
Ns_AbsoluteUrl(pds, url, baseurl) Construct an URL based on baseurl but with as many parts of the incomplete url as possible. Return NS_OK or NS_ERROR. Ns_ParseUrl(url, pprotocol, phost, pport, ppath, ptail) Parse a URL into its component parts. Pointers to the protocol, host, port, path, and "tail" (last path element) will be set by ref- erence in the passed-in pointers. The passed-in url will be modified. Ns_RelativeUrl(url, location) If the url passed in is for this server, then the initial part of the URL is stripped off. e.g., on a server whose location is http://www.foo.com, Ns_RelativeUrl of "http://www.foo.com/hello" will return "/hello". Returns a pointer to the beginning of the relative url in the passed-in url, or NULL if error. Will set errno on error. Ns_SkipUrl(request, n) Return a pointer n elements into the request's url. SEE ALSO
nsd(1), info(n) KEYWORDS
AOLserver 4.0 Ns_Url(3aolserver)
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