High Performance Computing with Python

                              Pygamma19, Heidelberg

                              March 20, 2019

  Florian Gaté, on behalf on the LAPP team 
  P.   A u b e r t ,   T.   V u i l l a u m e ,   J .   J a c q u e m i e r,   G .   M a u r i n ,   T.   G a s p a r e t t o ,   M .   J a c q u e m o n t  
                       High Performance Computing with Python - Menu
        •  C++ code wrapped in Python 
          ➡ Basic example of Python wrapping of vectorized C++ code 
          ➡ HiPeCTA: a Python package to bring High Performance to ctapipe
        •  Function minimization with PyTorch 
          ➡ What do PyTorch do? 
          ➡ Evaluation of the performances compared to NumPy 
          ➡ Some Deep Learning application, the gamma learn project
                 Pygamma19 - Heidelberg                                 Florian Gaté on behalf of the LAPP team  2
                       High Performance Computing with Python - Menu
                      •  C++ code wrapped in Python 
                        ➡ Basic example of Python wrapping of vectorized C++ code 
                        ➡ HiPeCTA: a Python package to bring High Performance to ctapipe
                 Pygamma19 - Heidelberg                                 Florian Gaté on behalf of the LAPP team  3
                                                 Wrapping example
      •  Disclaimer
           ➡ Here I give a simple overview, for much more detailed explanations 
             have a look at the lecture prepared by P. Aubert 
         https://asterics2020-obelics.github.io/Lecture/CodeOptimisationAndPythonWrappers/index.html
           ➡ This lecture will be part of the 3rd ASTERICS-OBELICS International School
                                         https://indico.in2p3.fr/event/18333/
                 Pygamma19 - Heidelberg                                   Florian Gaté on behalf of the LAPP team  4