Benchmarking Block Swapping Algorithms

This is a re-print of my Dr. Dobb’s article from April of 2012. The original article used to be available: https://www.drdobbs.com/parallel/benchmarking-block-swapping-algorithms/232900395 It is still available https://web.archive.org/web/20130130063936/http://www.drdobbs.com/parallel/benchmarking-block-swapping-algorithms/232900395 Below is the recreated version, with code fixes to one of the algorithms. Swapping two elements within an array quickly is simple, requiring a single temporary storage element. Swapping […]

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Two Simple Sorting Algorithms

Merge Sort was invented by John von Neumann in 1945. Many implementations have been shown in books and on the internet. However, in-place implementations have been difficult to accomplish, due to the need for an in-place merge, which only recently became available in standard C++, and is not available in other languages. In this blog, […]

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Parallel In-Place Merge

This is a re-post of my 2012 article in Dr. Dobb’s Journal, that is still available through the amazing WayBackMachine web archive. In my article on parallel merge, I developed and optimized a generic parallel merge algorithm. It utilized multiple CPU cores and scaled well in performance. The algorithm was stable, leading directly to Parallel Merge Sort. […]

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Average Fun

Computing an average or two numbers seems simple and innocent enough of an operation. Here is an example from an Algorithms text book: int m = (a+b) / 2 where a and b are also int’s, which are signed 32-bit values on most computers. This code seems innocent enough: add two integers, divide by two, […]

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Giga Sort – Sorting at 10X Faster Than C++ Parallel Sort

In my previous blog https://duvanenko.tech.blog/2020/02/03/faster-c-sorting/ I benchmarked standard C++ Sort algorithm on a single core at 11 Million 32-bit integers per second. Parallel C++ Sort runs at 93 Million integers per second on a 48-core Xeon CPU on AWS. I also benchmarked Parallel Merge Sort on the same machine, which reaches over 600 Million integers […]

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Feeling In-Place with Functional

Functional programming paradigm has infiltrated every modern programming language. Functional is considered a safer coding method, and lends itself to parallelism as well. A typical function in function programming style takes an input and returns an output. Input can be a single item or an array. Output can be either as well. This enables cascading […]

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Even Faster Sorting in C#

My earlier Faster Sorting in C# blog described a Parallel Merge Sort algorithm, which scaled well from 4-cores to 26-cores, running from 4X faster to 20X faster respectively than the standard C# Linq.AsParallel().OrderBy. In this blog, I’ll describe an even faster Parallel Merge Sort implementation – by another 2X. Performance of the New Approach C# […]

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To In-Place or To Not-In-Place

What Is It? Computing constantly provides space-time trade-offs. To make an algorithm faster, more space can be used. Or, if space is at a premium, then a slower and more space efficient algorithm can be used. This kind of a trade-off occurs in every aspect of computing, such as software development and chip design. In […]

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