Welcome!

• Sabine Grießbach

Room: Rotunde Welcome, agenda, house keeping

GPUs for Exascale: Introduction to the JUPITER System and its GPUs

• Andreas Herten (+Team)

Room: Rotunde With JUPITER, Europe's first exascale system is right on the doorstep. The system features two modules, a CPU-centric JUPITER Cluster and a highly-scalable JUPITER Booster, using nearly 24 000 GPUs for 1 EFLOP/s of sustained HPL performance. The talk will introduce the JUPITER system design, the current status, and key defining features of the GPU technology selected to enable this computational milestone in Europe.

Parallel Performance Analysis and Score-P Basics

• Markus Geimer

Room: Rotunde To effectively harness the computing capabilities of todays and future supercomputing systems, performance analysis and optimization should be a regular activity during scientific software development. Instead of using do-it-yourself solutions usually based on coarse-grained timers (e.g., time per timestep or solver iteration), developers of scientific code bases can resort to a variety of spezialized tools that have been specifically developed to assist them with this task. In this part of the workshop, we will introduce the open-source tools Score-P and Cube, and explore their usage and capabilities with a number of hands-on exercises.

Tutorial: Parallel Performance Analysis and Score-P Basics Room: Rotunde In this first session, we will introduce the key concepts of parallel performance analysis using Score-P. After introducing some basic terminology and the tools ecosystem centered around the Score-P instrumentation and measurement system, the general workflow of using Score-P to collect and the Cube graphical user interface to examine application profiles will be explained via hands-on exercises with a smaller-sized benchmark code.

Tutorial: Applying Score-P to an ESM Code Room: Rotunde The goal of this second session is to intensify the knowledge gained during the first session using a series of hands-on exercises with a production ESM application. These cover basic performance analysis using collected profiles, as well as a cross-experiment scalability analysis. If time permits, the challenges in examining coupled MPMD simulations will also be addressed.

Profiling ICON: Facing the Complex Realities

• Markus Geimer

Room: Rotunde To wrap up, we will present an experience report on applying Score-P to the ICON weather and climate model. We will summarize the steps taken, the challenges we encountered, and how they have been addressed.

Wrap-up Performance Analysis Room: Rotunde

Taming the Beasts: A Practical Overview of GPU Programming Models

• Andreas Herten (Forschungszentrum Jülich)

Room: Rotunde JUPITER will utilize nearly 24 000 NVIDIA GPUs to enter the Exascale Era. While CUDA is the native programming model for NVIDIA GPUs, there are alternatives which can offer higher productivity or more portability, like OpenACC, OpenMP, or Kokkos. This tutorial will present the relevant programming models and offer exercises to showcase the respective strengths.

Fast-Track to High Performance: Exploring OpenACC Room: Rotunde

Fast-Track to High Performance: Exploring CUDA

• Andreas Herten + Team

Room: Rotunde

Fast-Track to High Performance: Exploring Kokkos

• Andreas Herten +Team (+Team)

Room: Rotunde

Two ESM Experiences of Performance Portability: Born Into It or Maturing Into It

• Daniel Caviedes-Voullieme

Room: Rotunde

Wrap-up + End of Workshop

• Sabine Grießbach

Room: Rotunde