Breaking up a computation vs "..." to continue line - Huge Speed Difference !?
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I was profiling an ode solver today and found something very strange. The system has 9 states and the computation of the ode RHS was taking about 100 times longer to compute the 5th state than any other state.
The 5th state equation was longer than the other equations, but not so drastically longer that it should take 100 times longer to compute. It ran over 4 lines in the editor so there were "..." continuations at the end of each line.
I rewrote the equation using multiple assignments instead of one big assignment and got about a 50 times speed up. By this, I mean I changed
value(5, :) = big_expression1 ...
              + big_expression2 ...
              + big_expression3 ...
              + big_expression4;
to
value(5,:) = big_expression1;
value(5,:) = value(5,:) + big_expression2;
value(5,:) = value(5,:) + big_expression3;
value(5,:) = value(5,:) + big_expression4;
Can you think of any reason why the second version should drastically outperform the first?
1 Kommentar
  Jan
      
      
 am 15 Feb. 2013
				It depends on the real processing in "big_expression". Therefore your paraphrased code does not allow to reveal the problem.
Akzeptierte Antwort
  José-Luis
      
 am 15 Feb. 2013
        
      Bearbeitet: José-Luis
      
 am 15 Feb. 2013
  
      I don't think it has anything to do with "...". Shot in the dark:
Cache locality? Maybe big_expression(n) and big_expression(n+1) fit together in the cache whereas when you call them all at the same time values need to be moved around in memory.
2 Kommentare
  per isakson
      
      
 am 15 Feb. 2013
				Did you find the reason to the big difference in performance?
I've done some experiments with R2012a (64bit) without seeing anything like it.
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