mergesorts | mergesort in many languages | Translation library
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kandi X-RAY | mergesorts Summary
mergesort in many languages
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of mergesorts
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QUESTION
I'm doing a paralellism study using OpenMP. I'm trying to divide a MergeSort in tasks to get a better result.
I already got a good result doing it with tasks, but now I'm trying to divide on more tasks per iteration, so I can use more CPU's (in my original code I'm using about 1,5 CPU per recursion).
So I divided my Mergesort in four rather then two calls per recursion, but i'm getting an error of bad array lenght:
...ANSWER
Answered 2019-May-14 at 01:12Your calculation of middleLeft
and middleright
in mergeSort
are wrong, and can give values outside the [left
, right
] range. For example, if left
is 20, and right
is 30, middle
will be 25, middleLeft
12, and middleRight
18.
What you want to do instead is:
QUESTION
In answers related to quicksort
vs mergesort
, it is commonly stated that quicksort
exploits cache locality (locality of reference) better than mergesort
.
As both sorts follow a divide and conquer approach, I don't understand how quicksort
is more cache-friendly. Can anyone provide more insight related to this?
Also, there's notes on in-place merge sort. If this is practical (I have no idea whether it is), can merge sort also be cache-friendly?
...ANSWER
Answered 2018-Jan-30 at 04:18If you're sorting an array that fits into cache, then quicksort will require fewer memory accesses just because mergesort needs to allocate a second array. Quicksort will load the array into cache and then proceed without waiting for memory at all. Mergesort will pay the additional cost of accessing the second array.
If you're sorting an array that doesn't fit into cache, then quicksort still wins from a locality point of view, because as they recurse to sort smaller sections, both algorithms will soon get to sections that do fit into cache, and for those quicksort is faster by the above argument. On the upper levels of the sort that don't fit into cache, quicksort and mergesort perform pretty much equivalently from a cache locality point of view.
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