Höchstleistungsrechenzentrum Stuttgart: The Gray Scott HPC Summer School

Prerequisites and content levels

Prerequisites

Basic experience with C++, Fortran, Rust, Python, Julia programming

Content levels

Basic: 27 hours
Intermediate: 7.5 hours

Learn more about course curricula and content levels.

Instructors

Pierre Aubert (LAPP);
Hadrien Grasland (IJCLab), David Chamont (IJCLab), Vincent Lafage (IJCLab);
Jean-Marc Colley (LPNHE), Nabil Garroum (LPNHE);
Alice Faure (LUPM);
Joël Falcou (LRI);
Sébastien Valat (INRIA).

Learning outcomes

The school will cover the optimization of computations on different types of hardware (CPU), presenting their respective characteristics, architectures and bottlenecks. It will cover generic optimization methods applicable to all types of hardware, as well as the various libraries, technologies and languages available to achieve the best possible performance. Ideally, the peak performance of the machine.

Hardware: CPU
Languages considered: C++17, C++20, Fortran, Rust, Python, Julia
Libraries considered: SYCL, Eve, Numpy, cunumerics, legate, Jax, Thrust, cuPy, pycuda and PyTorch
Compilers considered: G++, Clang++, nvc++, gfortran, nvfortran, dpc++.
Profiling tools: Valgrind, Maqao, Perf, NSight, Malt and NumaProf

All the methods will be illustrated on simple examples, such as Hadamard products, reductions, barycentre calculations and matrix products, in order to be applied to a single problem: the simulation of a Gray Scott reaction.

This problem is simple enough to be understood quickly and complex enough for compilers to have difficulty optimizing it without help. Each method will be broken down into a simple version, using default options, and one or more advanced versions, which will allow their advantages and disadvantages to be discussed and quantified.

Agenda

CEST time:

Day 1 (Mond, June 23): [on-site] Introduction

13:30 - 14:00 Registration / Welcome Coffe
14:00 - 14:10 Welcome
14:10 - 14:30 Gray Scott School Introduction
14:30 - 15:00 CPU Architecture
15:00 - 15:30 Vectorization vs. Parallelization
15:30 - 16:00 Break
16:00 - 17:00 What is complitation?
17:00 - 18:00 Did you say Unit Test?

Day 2 (Tue, June 24): [on-site] C++ 17/2023 on CPU

09:00 - 10:30 C++ 17/2023 on CPU
10:30 - 11:00 Break
11:00 - 12:00 C++ 17/2023 on CPU
12:00 - 14:00 Lunch break
14:00 - 15:30 C++ Advanced Optimization (Pyramid)
15:30 - 16:00 Break
16:00 - 18:00 Theory and profiling tools

Day 3 (Wed, June 25): [on-site] SYCL 2020 on CPU

09:00 - 10:30 SYCL 2020 on CPU
10:30 - 11:00 Break
11:00 - 12:00 SYCL 2020 on CPU
12:00 - 14:00 Lunch break
14:00 - 15:30 Fortran 2018 on CPU
15:30 - 16:00 Break
16:00 - 17:00 Fortran 2018 on CPU
17:00 - 18:30 Theory and profiling tools

Day 4 (Thu, June 26): [on-site] Rust on CPU

09:00 - 10:30 Rust on CPU
10:30 - 11:00 Break
11:00 - 12:00 Rust on CPU
12:00 - 14:00 Lunch break
14:00 - 15:30 Rust on CPU
15:30 - 16:00 Break
16:00 - 17:00 Rust on CPU
17:00 - 18:30 Computation and digital precision

Day 5 (Fri, June 27): [on-site] Python on CPU

09:00 - 10:30 Python computing on CPU
10:30 - 11:00 Break
11:00 - 12:00 Python computing on CPU
12:00 - 14:00 Lunch break
14:00 - 15:30 Python computing on CPU
15:30 - 16:00 Break
16:00 - 18:00 Impact of the system on application peformances

Day 6 (Sat, June 28): [online only] Hands-on

10:00 - 12:00 Little shifted handson

HLRS concept for on-site courses

Besides the content of the training itself, another important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by

offering common coffee and lunch breaks and
working together in groups of two during the exercises. Laptops wil be provided.

Registration information

Register via the button at the top of this page.

Note: you will be able to join the summer school on-site at HLRS only for the first week, from June 23rd to June 28th (the last day - online only).

This course is offered in cooperation by HLRS, LAPP. Registration is done via https://www.lapp.in2p3.fr. Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.

Registration closes on June 20, 2025 at 23:55.

Fees

Students without Master's degree or equivalent. Participants from EU or EuroCC countries only: 0 EUR
PhD students or employees at a German university or public research institute: 0 EUR
PhD students or employees at a university or public research institute in an EU or EuroCC country other than Germany: 0 EUR.
Other participants, e.g., from industry, other public service providers, or government. Participants from EU or EuroCC countries only: 0 EUR

Our course fee includes coffee breaks (in classroom courses only).

For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.

Only participants from institutions belonging to these countries can take part in this course.

Contact

Maksym Deliyergiyev phone 0711 685 87261, maksym.deliyergiyev(at)hlrs.de
Tobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de

HLRS training collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC. Since 2025, HLRS coordinates HammerHAI.

This course is provided within the framework of EuroCC2.

Acknowledgements

Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.

EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.

Official course URL(s)

https://www.lapp.in2p3.fr/en/THE-GRAY-SCOTT-SUMMER-SCHOOL

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.

The Gray Scott HPC Summer School

Veranstaltungsort

Prerequisites and content levels

Prerequisites

Content levels

Instructors

Learning outcomes

Agenda

HLRS concept for on-site courses

Registration information

Fees

Contact

HLRS training collaborations in HPC and AI

Acknowledgements

Official course URL(s)

Further courses and training team

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