-Welcome to your wiki! This is the default page we've installed for your convenience. Go ahead and edit it.
-This wiki uses the [[http://www.wikicreole.org/|Creole]] syntax, and is fully compatible with the 1.0 specification.
-The wiki itself is actually a hg repository, which means you can clone it, edit it locally/offline, add images or any other file type, and push it back to us. It will be live immediately.
-$ hg clone http://bitbucket.org/chengsoon.ong/pythongrid/wiki/
-Wiki pages are normal files, with the .wiki extension. You can edit them locally, as well as creating new ones.
-=== Syntax highlighting ===
-You can also highlight snippets of text, we use the excellent [[http://www.pygments.org/|Pygments]] library.
-Here's an example of some Python code:
- formatter = lambda t: "funky"+t
-You can check out the source of this page to see how that's done, and make sure to bookmark [[http://pygments.org/docs/lexers/|the vast library of Pygment lexers]], we accept the 'short name' or the 'mimetype' of anything in there.
+We focus on what is usually known as [[http://en.wikipedia.org/wiki/Embarrassingly_parallel|embarassingly parallel]] problems, where there is no communication between the different tasks. These problems are particularly suited to cluster computing, since there is essentially no overhead for parallelisation. We provide a python interface for submitting and collecting cluster jobs via the [[http://www.drmaa.org/|DRMAA]] framework, instead of using the standard command line interface (e.g. qsub or bsub). This means that the user can write all the control flow in python.
+== Implementation notes ==
+This project uses [[http://code.google.com/p/drmaa-python/|drmaa-python]] to communicate with the queue master and depends on the file system (via cPickle) to transmit variables between the master node and the compute nodes.
+== Quick start example ==
+ computes factorial of n
+inputvec = [, , , ]
+print 'Computing the factorials of %s' % str(inputvec)
+ job = Job(computeFactorial, input)
+# All the work is done here
+processed = process_jobs(jobs)
+for (ix, job) in enumerate(processed):
+ print "Job #", ix, "- ret: ", str(job.ret)[0:10]