Re: Optimizing a large project.

by Herkum (Parson)

on Jun 12, 2008 at 17:46 UTC ( [id://691738]=note: print w/replies, xml )

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It sounds like you are trying to swallow a whale, you will end up choking on it if you do that.

You need to spend time breaking down the libraries into stuff that is smaller and easier to work with. Then you focus more on optimization.

If you don't have a handle on your processes, your code, you will not be able to optimize it for performance, at least not in any sane way.

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Re^2: Optimizing a large project. by dextius (Monk) on Jun 12, 2008 at 17:56 UTC
None of the method calls show up as huge consumers of time (other than some the SWIG logic). I'm concerned that if we broke the libraries down any further then we'd just exacerbate our method call overhead issue. Yes, it is a whale. I believe we have a handle on it, given two large scale profiling runs, I simply don't know how to measure things beyond what the profiler provides. (if that is even our issue to begin with).	[reply]
Re^3: Optimizing a large project. by Herkum (Parson) on Jun 12, 2008 at 18:49 UTC
I guess the next question to ask is how do manage your data? Can simplify your data structures, you can limit your data sets? Can you move data process to something that would be more optimized like a database? Optimized code and data structures can only take you so far.	[reply]

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