Going Parallel (part II)

Wednesday 7 Dec 2022, 09:00 → 17:00 Europe/Brussels

Banque nationale: BN/055 (Namur)

Going parallel is crucial to speed up your gain and to use the full power of HPC center. In this session, we will start by presenting the share memory model (OpenMP) and then move on parralelism with GPU (CUDA and OpenACC)
Contents: Parallel programming with OpenMP Directive Based Parallel programming on GPU (OpenACC) Parallel programming on GPU with CUDA	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
	Type: Hands-on Target audience: Rookie programmer Must: This session is a must-have for anyone that want to move to GPU or use parralelism with shared memory

09:00 → 12:00 Parallel programming with OpenMP

OpenMP is an easy alternative to pthreads for multithread computing. OpenMP extensions now exist in most C and Fortran compilers and allow flagging loops and other construct for efficient multithreading with little supplementary programming effort.
Contents: Parallel programming paradigms OpenMP Execution model Compiling an OpenMP program Data races Parallel loops Barriers and synchronisation	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 programmer Must: This session is a must-have for anyone writing programs in C/C++ or Fortran

Speakers: Orian Louant (Université de Liège), David Colignon (ULiège)

CECI-OpenMP-Dec22.pdf

13:30 → 15:15 Parallel programming on GPU with CUDA

Cuda is the most common way to code GPU application from scratch develloped by NVidia, it allows to push NVidia GPU to the maximum of their possibilities

Contents: Basic of GPU hardware Basic of programming with CUDA using nsight to profile your code

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.) Basic knowledge of C Type: Hands-on Target audience: Rookie programmer Must: This session is a nice-to-have for those who need to develop highly parallel scientific software.

Speaker: Olivier Mattelaer (UCLouvain/CISM)

22_12_Cuda_CISM.pdf

15:30 → 17:00 Directive Based Parallel programming on GPU (OpenACC)

This course is an introduction to OpenACC and OpenMP to target GPU. These programming models are based on programmers inserting hints into their C/C++ or Fortran programs on how the code can be parallelized. OpenMP, was initially designed for shared-memory system with CPU but has recently been extended to target heterogeneous systems with accelerators like GPU.  OpenACC, on the other end, was designed from the start to target accelerators.

Contents: Basics of OpenMP offloading and OpenACC Compute and worksharing constructs Data management Asynchronous execution and synchronization

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.) Basic knowledge of C/C++ or Fortran Type: Hands-on Target audience: Rookie programmer Must: This session is a nice-to-have for those who need to develop highly scientific software.

Speaker: Orian Louant (Université de Liège)

CECI-GPUDirectives-Dec22.pdf