Parallel Data Processing and Visualization

Odd-Even Transposition Sort: Parallel version distributes data among processes and performs iterative exchanges until

sorted.

Word Count (File Processing): Parallel version splits the text across processes and combines counts using MPI

reduce/gather operations.

Image Processing: Basic image operations including grayscale conversion and blurring filters.

Machine Learning Training: Allows users to visualize regression results and training performance.

Keyword Text Search: Each process scans its assigned text chunk and returns global keyword positions.

CSV Statistics Analyzer: Computes statistical measures: mean, median, mode, standard deviation, minimum, and

maximum.

Distributed Matrix Multiplication: Distributes rows of Matrix A among processes, broadcasts Matrix B, and aggregates results

into the final matrix.

Streamlit Web Interface.