Learning How to program on HPC cluster (part IV: Python for HPC, Advanced Julia)

Europe/Brussels
S08 (Namur)

S08

Namur

Bâtiment des Sciences, Rue Joseph Grafé 2, 5000 Namur
Description
Python/Julai are scripting languages used in many scientific software. In this session, we will cover advanced usage on HPC.

Contents:

  • Efficient use of Julia on the clusters
  • Efficient use of Python on the clusters

Prerequisite:

  • Being able to use SSH with private keys 
  • Being familiar with a text editor 
  • Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)

Type: Hands-on
Target audience: Rookie programmer
Must: This session is a nice-to-have for those who are using Python for science

Registration
Registration
12 / 50
    • 1
      Efficient use of Python on the clusters

      The use of Python for scientific computing is rising thanks to modules such as numpy, scipy and mathplotlib. This session explores the efficient uses of Python in that context for situations where numpy and co. are of less use. It assumes a working knowledge of Python. 

      Contents:

      • Installing libraries
      • Numpy
      • Scipy
      • Multithreading
      • Compiling

      Prerequisite:

      • Being able to use SSH with private keys 
      • Being familiar with a text editor 
      • Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)
      • Working knowledge of Python

      Type: Hands-on
      Target audience: Confirmed Python user
      Must: This session is a must-have for anyone thinks Python is slow.

      Speakers: Ariel Lozano (ULB), Nicolas Potvin (ULB département informatique)
    • 2
      Julia for HPC

      Being specifically designed with numerical computing in mind, Julia natively supports parallel computing in its standard library, as well as a number of third party libraries. The goal of this advanced session is to cover important features for HPC, such as benchmarking code and parallelism.

      Contents:

      • Benchmarking and Profiling Julia code
      • Parallel Programming in the standard library
      • Third Party Libraries
      • Running Julia on the cluster

       

      Prerequisite:

      • Being able to use SSH with private keys 
      • Being familiar with a text editor 
      • Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)

      Type: Hands-on
      Target audience: Rookie programmer
      Must: This session is a nice-to-have for those who need to develop fast scientific software.

      Speaker: Cédric Simal (Université de Namur)