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Parallel computing implementation examples

License: MIT License

Python 43.85% C 16.28% JavaScript 35.47% HTML 4.41%

parallel-computing parallelization parallel parallelism parallel-processing parallel-algorithm algorithms machine-learning-parallel

parallel-processing's Introduction

Parallel-Processing-Nadig

Repository for parallel processing.

This repository contains both parallelized algorithms and tutorials/examples of parallel computing mechanisms in different languages.

Parallelized algorithms:

K-Nearest Neighbours - Machine Learning
Similarity Metrics - Algorithms for finding the similarity between data points * Euclidean Distance * Cosine Similarity * Manhattan Distance * Minskowski Distance * Jaccard Similarity

Implementations | Examples | Tutorials:

Parallel Computing in Python using Multiprocessing library

Using Multiprocessing Pools
Using Multiprocessing Processes

Parallel Computing in C using OpenMP

Linear Search
Selection Sort
Merge Sort

Parallel Computing in JavScript using Web Workers

THree Hump Camel Function
Task Parallelism: Quicksort and Mergesort
Pixel Manipulation

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parallel-processing's Issues

Issue regarding reduction declaration

https://github.com/madhug-nadig/Parallel-Processing-Nadig/blob/c52c90fc8e93d69dc88198a5948cdb88daac4141/Parallel%20Programming%20in%20C%20-%20Selection%20Sort.c#L17

Should be replaced with:

#pragma omp declare reduction(maximum : struct Compare : omp_out = omp_in.val > omp_out.val ? omp_in : omp_out) initializer(omp_priv=omp_orig)

otherwise the Compare struct members will be initialized to the default value (0) in the body of the for loop that uses the reduction (regardless of the fact that struct members have been initialized before the loop).

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