This is a detailed article on how to avoid failures in execution of big data analytics projects.
Write a program in C++ implementing Conway's Game of Life in C++ in parallel by using more than 1 processors. You must use OpenMPI and OpenCV. Do not generate the output on terminal. Instead, create a Mat image using OpenCV. There should only be 1 image whose color keeps on changing depending on the number of dead and alive cells. Run the program for image size 300X300 and Number of iterations 1000. The program should also work for 1 processor.
Project requirements: - Programming language: C or Python - A few suggestions for project ideas: – ML: distributed learning – Signal Processing algorithm – Data-Image compression – Network science/analysis: parallelize large-scale graph processing – Machine Learning Applications on big data. Parallelize a machine learning algorithm (e.g. parallel logistic regression, clustering, large-scale classification, deep learning). contact for more information