[task #7807] Speed-up of dispersion models for Clustered analysis -- June 15, 2014 - 10:30

Follow-up Comment #199, task #7807 (project relax):

The following python script, to be placed in the base relax directory, and the
corresponding log file, demonstrate the speed differences of various dot
product operations.  This is to help make the numeric dispersion models
faster.

The script tests 3 different operations:

1) Sequential dot products (a = dot(b, c); a = dot(a, d)).
2) Chained dot products (a = b.dot(c).dot(d)).
3) Using the out argument to avoid memory allocation and garbage collection
(dot(b, c, a); dot(a, d, a)).

The timings are:

1) 3.71 s.
2) 4.05 s.
3) 1.99 s.

As option 1) is the implementation used in the relax trunk, clearly option 3
has the potential to significantly speed up the models.


(file #21021, file #21022)
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Additional Item Attachment:

File name: dot_speed.py                   Size:2 KB
File name: dot_speed.log                  Size:0 KB


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