Parallel High Performance Computing - Laboratory Classes

Repository with laboratory classes for Parallel High Performance Computing.

Repository Structure

• article_analysis/
  Analyses of a research article related to the course
• examples/
  Code examples, including .cpp files demonstrating concepts discussed in class.
• Lab_1/ to Lab_7/
  Folders corresponding to the course's practical labs, containing:
  • PDF reports
  • Experiment results (.c, .cu, .nvvp, .pdf, etc.)
  • Source code and diagrams
  • Scripts and auxiliary files for experimentation
• README.md
  This file.

Requirements

• Visual Studio Code (recommended)
• Linux Machine configured to run CUDA
• C/C++ compiler (e.g., gcc, g++)
• For labs with OpenCL/FPGA: Altera/Intel OpenCL SDK and related tools

Notes

• .pdf and .nvvp files contain experiment results and performance analyses.
• Some directories may include configuration files or scripts specific to each experiment.

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Author: Manuel Santos
Course: High Performance Computing (CHAD)