Readme for statistics-0.3.2
Statistics: efficient, general purpose statistics
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This package provides the Statistics module, a Haskell library for
working with statistical data in a space- and time-efficient way.
Where possible, we give citations and computational complexity
estimates for the algorithms used.
Performance
-----------
This library has been carefully optimised for high performance. To
obtain the best runtime efficiency, it is imperative to compile
libraries and applications that use this library using a high level of
optimisation.
Suggested GHC options:
-O -fvia-C -funbox-strict-fields
To illustrate, here are the times (in seconds) to generate and sum 250
million random Word32 values, on a laptop with a 2.4GHz Core2 Duo
P8600 processor, running Fedora 11 and GHC 6.10.3:
no flags 200+
-O 1.249
-O -fvia-C 0.991
As the numbers above suggest, compiling without optimisation will
yield unacceptable performance.
Get involved!
-------------
Please feel welcome to contribute new code or bug fixes. You can
fetch the source repository from here:
darcs get http://darcs.serpentine.com/statistics
Authors
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Bryan O'Sullivan <bos@serpentine.com>