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1,163 bytes added, 11:49, 9 February 2013
Project Name TBA
{{GPU610/DPS915 Index | 20131}}
= Project Name TBA Drive_God_Lin =We are going to be working on a [ CERN] project called Drive_God_Lin (more info soon...)
== Team Members ==
# [ Sezar Gantous]
=== Assignment 1 ===
I decided to profile CERN project - Drive_God_Lin.
After gprof the project with the test data provided I learned the following:
(summery of gprof)
Each sample counts as 0.01 seconds.
% cumulative self self total
time seconds seconds calls ms/call ms/call name
39.98 26.68 26.68 524 50.92 50.92 ordres_
37.42 51.65 24.97 314400 0.08 0.08 zfunr_
12.69 60.12 8.47 314400 0.03 0.03 cfft_
As you can see, most the program's time is spent in the ordres() subroutine and zfunr() subroutine; both are localed in the fortran portion of the program (there is a c portion as well).
Furthermore, this program is already parallelized using openmp; which means it may be farther parallelized using cuda technology.
In these two subroutines (specially in orders()) there are a lot of nested loops, if statements, goto's, and even some sore of a search algorithm (in orders() only) that I'm certain it could be notably improved using cuda technology.

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