mergesorts | mergesort in many languages | Translation library

 by   geohot Shell Version: Current License: No License

kandi X-RAY | mergesorts Summary

kandi X-RAY | mergesorts Summary

mergesorts is a Shell library typically used in Utilities, Translation applications. mergesorts has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

mergesort in many languages
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              mergesorts has a low active ecosystem.
              It has 164 star(s) with 69 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 8 have been closed. On average issues are closed in 0 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mergesorts is current.

            kandi-Quality Quality

              mergesorts has no bugs reported.

            kandi-Security Security

              mergesorts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              mergesorts does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mergesorts releases are not available. You will need to build from source code and install.
              Installation instructions are available. Examples and code snippets are not available.

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            mergesorts Key Features

            No Key Features are available at this moment for mergesorts.

            mergesorts Examples and Code Snippets

            No Code Snippets are available at this moment for mergesorts.

            Community Discussions

            QUESTION

            Array size problem on a parallelized Merge Sort on OpenMP. How can I divide a merge sort on more tasks?
            Asked 2019-May-14 at 01:17

            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 01:12

            Your 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:

            Source https://stackoverflow.com/questions/56121569

            QUESTION

            How is quick sort better at cache locality than mergesort?
            Asked 2018-Jan-30 at 04:42

            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 04:18

            If 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.

            Source https://stackoverflow.com/questions/48513480

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mergesorts

            Don't know merge sort algorithm. Pick up a programming language and try to implement it yourself.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/geohot/mergesorts.git

          • CLI

            gh repo clone geohot/mergesorts

          • sshUrl

            git@github.com:geohot/mergesorts.git

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