HPC 101: Profiling

This repository contains simple examples and demonstrations for learning about profiling techniques in high-performance computing (HPC) applications. The examples are designed to help you understand how to identify performance bottlenecks and analyze code efficiency.

Repository Structure

• python-examples: Python profiling demonstrations
• JuliaExamples: Julia profiling demonstrations

Topics Covered

• CPU profiling and performance analysis
• CUDA kernel time and memory profiling
• Identifying computational bottlenecks
• Visualizing and analyzing Flame Graphs.

Getting Started

1. Clone the repository
2. For CUDA examples module load cuda/12.8.1

Python

3. Install uv
4. cd python-examples
5. uv sync

Julia

6. Install or load Julia module load julia
7. cd JuliaExamples
8. ] to go to Pkg mode
9. instantiate