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How To Implement The Parallel "Stable" Sort Using Intel® MPI Library And Deploy It To A Multi-Node Computational Cluster

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7 May 2020CPOL13 min read
In this article I will ground the discussion on the several aspects of delivering a modern parallel code using the Intel® MPI library, that provides even more performance speed-up and efficiency of the parallel “stable” sort, previously discussed.
The audience of this article’s readers will find out about an algorithm that allows to workshare the entire process of sorting between multiple processes, spawned in parallel, running in a single computational node (e.g. intra-node) or an entire computational cluster, consisting of multiple nodes, each one consuming its own CPU and system memory resources. The following algorithm is mainly based on the idea of combining the famous quicksort and mergesort algorithms to perform the parallel sort of big data divided into the sub-arrays, sorted by each process in a team independently and, then merge those sorted sub-arrays into an entire array of ordered data.


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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Software Developer (Senior) EpsilonDev
Ukraine Ukraine
I’m software developer, system analyst and network engineer, with over 20 years experience, graduated from L’viv State Polytechnic University and earned my computer science and information technology master’s degree in January 2004. My professional career began as a financial and accounting software developer in EpsilonDev company, located at L’viv, Ukraine. My favorite programming languages - C/C++, C#.NET, Java, ASP.NET, Node.js/JavaScript, PHP, Perl, Python, SQL, HTML5, etc. While developing applications, I basically use various of IDE’s and development tools, including Microsoft Visual Studio/Code, Eclipse IDE for Linux, IntelliJ/IDEA for writing code in Java. My professional interests basically include data processing and analysis algorithms, artificial intelligence and data mining, system analysis, modern high-performance computing (HPC), development of client-server web-applications using various of libraries, frameworks and tools. I’m also interested in cloud-computing, system security audit, IoT, networking architecture design, hardware engineering, technical writing, etc. Besides of software development, I also admire to write and compose technical articles, walkthroughs and reviews about the new IT- technological trends and industrial content. I published my first article at CodeProject in June 2015.

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