/High-Performance-Computing

Primary LanguageJupyter Notebook

High Performance Computing

This repository contains code and resources related to High-Performance Computing projects. The project used the computational resource of ORFEO cluster.

Contents

  1. hybrid_mandelbrot: OpenMP+MPI Mandelbrot set implementation and analysis

    • src: C source code with Makefile for compiling
    • images: graphs and rendering of the set
    • presentation: tex files for the slides
    • report: tex files for the report
    • results: csv files containing strong and weak scaling timing measures
    • sbatch_epyc: SLURM job files for EPYC partition

  2. openMPI_collective_operations: analysis of broadcast and reduce operations

    • bcast: csv files containing bcast timing measures
    • plots: plots of the data analysis on both bcast and reduce
    • presentation: tex files for the slides
    • reduce: csv files containing reduce timing measures
    • report: tex files for the report
    • sbatch_thin: SLURM job files for THIN partition
    • .ipynb: jupyter notebooks for EDA and linear model

  3. pdf files of reports and presentations

Author

Alessandro Della Siega

May 2024, University of Trieste