Name: Learning How to program on HPC cluster (part I: Scientific software, interpreted languages, compilers, (c)make)
Start: 2024-11-05T09:30:00+01:00
End: 2024-11-05T16:30:00+01:00
Location: Louvain-La-Neuve

1

Introduction to scientific software development and deployment

Often, the workflow for researchers is to acquire a piece of software, and either modify it, or wrap it in scripts, or simply install it on the clusters, or all of that at the same time, on many clusters. This session will introduce to the tools that can make this whole process easier.

Contents:

Programming paradigms
Types of languages and the choice of the language.
Tools for deploying software
The programmer's toolkit
Writing comments and elements of style

Prerequisite:

Being familiar with a text editor
Mastering the Linux command line and the GNU utilities (mkdir, cp, scp, etc.)

Type: Lecture
Target audience: Rookie programmers
Must: This session is a nice-to-have.

Speaker: Damien François (UCLouvain/CISM)

2

Introduction to scripting and interpreted languages (Python, R, Octave, Julia)

Interpreted languages are often thought as less performance-oriented than compiled languages. Yet, they are often much easier to use and the time spent developing code is much lower than with compiled languages, and many tools are available to make them nearly as performant as compiled languages.

Contents:

Use cases, strengths and weaknesses
The trilogy: Octave, R, Python
Compiling and linking the interpreter
Installing additional libraries
Using compiled code inside interpreted code
Compiling interpreted code

Prerequisite:

Have a basic understanding of procedural programming (conditionals, loops, etc.)
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 programmers
Must: This session is a nice-to-have.

Speaker: Damien François (UCLouvain/CISM)

3

Make/CMake

Learn about automating the compiling of your code, linking libraries and handling code projects consisting of several files.

Content:
- Writing a minimal makefile for small projects
- Understanding more advanced makefile to compile a software yourself
- Automate the writing of makefiles through CMake for medium to large projects
- Using CMake to handle librairies, environment variables, and parametrize your code at compile-time

Prerequisite:
- Basic knowledge about compilers
- Basic knowledge about compiled languages
- Being familiar with Linux
- Being familiar with a text editor

Target audience: Anyone needing to compile code themselves.

Speaker: Nicolas Potvin (ULB département informatique)

4

How to speed up your code at low cost?

The choice of the compiler (many clusters have several, a.o. gcc, intel, etc.) is important, as is the choice of the compiling options. This sessions reviews the strengths and weaknesses of the compilers and their optimal use.

Contents:

The GCC Compiler and its options
Intel Compiler Studio
The different levels of code optimization
Using external libraries
Using configure and make
Downloading and compiling source code
Using linear algebra, signal processing libraries, etc.(BLAS, MKL, ACML, etc.)

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.)
Passive knowledge of C or Fortran

Type: Hands-on
Target audience: Rookie programmers
Must: This session is a must for anyone who needs to compile software from sources.

Speaker: Bernard Van Renterghem (UCL CISM)

Learning How to program on HPC cluster (part I: Scientific software, interpreted languages, compilers, (c)make)

SUD05

Louvain-La-Neuve