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openmp-parallelization

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parallel-PCA-openmp

A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.

  • Updated May 9, 2019
  • C

Sequential and Parallel(using Open MP and Pthreads) Implementations(c++) of the K Means Clustering Algorithm and visualizing the results for a comparative study of the Speedup and Efficiency achieved in 3 different implementations

  • Updated Feb 15, 2019
  • C++

This repository contains lab work of High Performance Computing. This course is offered at DA-IICT in 6th semester (3rd Year). The main purpose of this course is to get maximum throughput from any system. Depending upon the cache size, processor and using multi threading via open-mp, we are analyzing the performance, its efficiency, speedup, throughput of any given code. How to parallelized any given serial code and how to use spatial or temporal locality in order to achieve best computing performance is the goal for this course.

  • Updated May 3, 2020
  • C

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