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			103 lines
		
	
	
		
			4.7 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
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|  | <span id="Load-balancing-1"></span><h4 class="subsection">6.4.2 Load balancing</h4> | ||
|  | <span id="index-load-balancing"></span> | ||
|  | 
 | ||
|  | <p>Ideally, when you parallelize a transform over some <em>P</em> | ||
|  | processes, each process should end up with work that takes equal time. | ||
|  | Otherwise, all of the processes end up waiting on whichever process is | ||
|  | slowest.  This goal is known as “load balancing.”  In this section, | ||
|  | we describe the circumstances under which FFTW is able to load-balance | ||
|  | well, and in particular how you should choose your transform size in | ||
|  | order to load balance. | ||
|  | </p> | ||
|  | <p>Load balancing is especially difficult when you are parallelizing over | ||
|  | heterogeneous machines; for example, if one of your processors is a | ||
|  | old 486 and another is a Pentium IV, obviously you should give the | ||
|  | Pentium more work to do than the 486 since the latter is much slower. | ||
|  | FFTW does not deal with this problem, however—it assumes that your | ||
|  | processes run on hardware of comparable speed, and that the goal is | ||
|  | therefore to divide the problem as equally as possible. | ||
|  | </p> | ||
|  | <p>For a multi-dimensional complex DFT, FFTW can divide the problem | ||
|  | equally among the processes if: (i) the <em>first</em> dimension | ||
|  | <code>n0</code> is divisible by <em>P</em>; and (ii), the <em>product</em> of | ||
|  | the subsequent dimensions is divisible by <em>P</em>.  (For the advanced | ||
|  | interface, where you can specify multiple simultaneous transforms via | ||
|  | some “vector” length <code>howmany</code>, a factor of <code>howmany</code> is | ||
|  | included in the product of the subsequent dimensions.) | ||
|  | </p> | ||
|  | <p>For a one-dimensional complex DFT, the length <code>N</code> of the data | ||
|  | should be divisible by <em>P</em> <em>squared</em> to be able to divide | ||
|  | the problem equally among the processes. | ||
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