On Fri, Dec 30, 2011 at 5:45 AM, <jason-s...@creativetrax.com> wrote:
> On 12/29/11 10:37 PM, Jaidev Deshpande wrote: > > Hi! > > > >> Along with test coverage, have any of you considered any systematic > >> monitoring of NumPy performance? > > > > I'm mildly obsessed with performance and benchmarking of NumPy. I used > > to use a lot of MATLAB until a year back and I tend to compare Python > > performance with it all the time. I generally don't feel happy until > > I'm convinced that I've extracted the last bit of speed out of my > > Python code. > > > > I think the generalization of this idea is more or less equivalent to > > performance benchmarking. Of course, I know there's a lot more than > > 'MATLAB vs Python' to it. I'd be more than happy to be involved. GSoC > > or otherwise. > > > > Where do I start? > > We've recently had a discussion about more intelligent timeit commands > and timing objects in Python/Sage. People here might find the > discussion interesting, and it might also be interesting to collaborate > on code. The basic idea was a much smarter timeit command that uses > more intelligent statistics and presents a much more comprehensive look > at the timing information. > > Here is the discussion: > https://groups.google.com/forum/#!topic/sage-devel/8lq3twm9Olc > > Here is our ticket tracking the issue: > http://trac.sagemath.org/sage_trac/ticket/12168 > > Here are some examples of the analysis: http://sagenb.org/home/pub/3857/ > > Nice. It would be cool to have this available as a separate ipython magic command. For performance monitoring it's probably unnecessary, regular %timeit should be OK for that. Performance monitoring does require quite a bit of infrastructure (like Wes' vbench project) though, which could be a good (GSOC) project. There's other VCS's to support, maybe a buildbot plugin, many options there. Ralf
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