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Posted 03 March 2011 - 02:25 AM
I've been searching for a parallel Qsort algorithm.
Best would fit algorithm that can be parallelized for any number of processors/threads because application will be installed on PC's as well as on clusters (is it at all posiible to palallelize it that way?).
However I have none experience in writing parallel programs so I would need quite simple thing.
Thanks in advance,
PS: I did google some things but what I have found were only algorithms paralelized into 2 threads.
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Posted 03 March 2011 - 06:55 AM
EDIT: Some ideas of this algorithm are particularly important on clusters. You probably want to break the data in chunk and then send each part to a computer in the network to sort. Once a part is sorted, you can then merge the various parts trying to minimize network traffic.
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Posted 03 March 2011 - 07:27 AM
1. Divide the data equally between the processors.
2. Sort the data on the individual processors as normal (std::sort() is much quicker than qsort).
3. Once all the sorts are done merge the results. O(n)
EDIT: I type too slow.
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Posted 05 March 2011 - 03:39 AM
- What are the typical, min and max number of items to sort?
- How common are suplicate values?
- What type is being sorted, and is it expensive to copy/move?
- How quickly can the type of item being sorted be compared?
- How much memory can you spare to improve the speed?
- Can you hold all the data in RAM whilst sorting it?
- Is the data likely to often be in a close-to-sorted order already?
- Can you simply keep the data in a sorted container instead of re-sorting it repeatedly?
Having said that, quicksort and mergesort will both parallelise just fine. Quicksort doesn't quite parallelise as well because the workload will more often be distributed unevenly. I actually prefer to use FlashSort in many cases, which has the additional requirement that items be subtractable, or I sometimes pick something else...
You might want to take a look at my sig.
My website dedicated to sorting algorithms