Timeline Profiling & Visualisation in Python : The first introduction
Output example from my project.

Timeline Profiling & Visualisation in Python : The first introduction

Project Description

About a week ago, I was asked to write a few words about my project on Summer of HPC. The abstract on that report was this:

This project’s objective is to make Python interaction with Score-P possible. The use of Python in HPC is increasing, therefore a module that will allow programmers to either automatically annotate and produce event traces for their Python codes, or manually annotate interesting regions seems a great idea.To build the module we will make use of several technologies; not only Python programming and interfacing with C libraries but wrapping C libraries for Python as carried out by Cython. After constructing bindings to the Score-P tracing library from Python, the module will be used to instrument and trace example HPC programs.The application will be used to profile a Python-based HPC application

So now,let me explain all these in simple words.First of all,we have Score-P.Score-P is a scalable performance measurement infrastructure for Parallel Codes. This tool allows you to get several information about your code;from the total time that elapsed to the percentage of the thread that a single function used. However,at this time , this only possible for C,C++ or Fortran codes. So, the aim of this project is to make this tool usable for Python as well.

Output example from my project.

Output example from my project.

But how?Well,here comes Cython. Cython is a painless way of embedding compiled, optimized bits of code in a Python program. First,it translates Python code into equivalent C code and then it uses a C compiler to create a shared library that can be loaded as a Python module. That means that we combine C with Python so that we can actually connect Python with Score-P.

At the end,what I expect as a result, is a module that will be able to provide to Python codes as much of Score-P functionality as possible.There will also be an effort to add OpenMP support as this is present in Score-P.Finally, we intent to ask Score-P developers to consider adding this code to their package.

In the posts to come I will explain step by step all the aspects of the project and I will try to give some rough information about the technologies used.

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