Summer School on Effective HPC for Climate and Weather

Due to COVID-19, we will organize the summer school as virtual event again.

Making effective use of HPC environments becomes increasingly challenging for PhD students and young researchers. As their primary intent is to generate insight, they often struggle with the technical nature of the tools and environments that enable their computer-aided research: computation, integration, and analysis of relevant data.

The scope of the summer school is the training of young researchers and software engineers in methods, tools, and theoretical knowledge to make effective use of HPC environments and generate insights.

Date 23-27 August 2021
Venue Virtual event
Contact Julian Kunkel (University of Reading, UK)
Communication Mailing List

While the school aims to prepare the attendees for large scale simulation runs and data processing, it does also cover a representative selection of modern concepts such as machine learning, domain-specific languages, containerisation, and analysis of climate/weather data using Python 1).

We will also provide an outlook of challenges and strategies for HPC for climate and weather. Additionally, we aim to foster networking among scientists bringing together users of specific models and tools and enabling them to exchange their knowledge.

A certificate of attendance will be provided to the attendees. Additionally, we offer the opportunity to obtain the currently available certificate of the HPC Certification Program.

The summer school will also support the mission of the European Network for Earth System modelling (ENES).

The ESiWACE project funds this summer school.

The ESiWACE Summer School is structured along with topical sessions in the morning/afternoon.

A topical session typically consists of an academic lecture and it may contain hands-on/lab practicals, group work, and discussion. Experts in the respective field will organise each of these sessions.

The hands-on/lab practicals are recorded, and they will provide an introduction/walk-through to the topic. We will have dedicated slots to allow independent/self-paced learning, and participants can decide what and when they want to engage. Additional support will be provided by the Mailing List, in which participants may post questions and cooperate with other students and the organisers. The Q&A session on Friday will offer the participants the opportunity to contact the organiser of each hands-on session and ask questions regarding the pre-recorded material.

The topics covered in the summer school are as follows:

  • Code Development
  • Containers
  • Extreme-Scale Computation
  • High-Performance Data Analytics and Visualisation
  • Machine Learning
  • Middleware and File Formats
  • Modern Storage
  • Performance Analysis

We are currently preparing the agenda. The following shows the general (tentative) structure of the agenda.

Monday - Computing

  • 08:30 Registration opens and coffee
  • 09:00 Extreme-Scale Computation – Chair: Rupert Ford (STFC, UK), Carlos Osuna (MeteoSwiss, Switzerland)
    • 09:00 Morning Academic Session
    • 10:30 Virtual Refreshment Break
    • 11:00 Lab Session
  • 12:30 Virtual Lunch Break
  • 13:30 Code Development – Chair: Sophie Valcke (Cerfacs, France), Christopher Maynard (University of Reading, UK)
    • 13:30 Afternoon Academic Session
    • 15:00 Virtual Refreshment Break
    • 15:30 Lab Session
    • 16:30 Breakout Session

Tuesday - Storage

  • 09:00 Modern Storage – Chair: Sai Narasimhamurthy (Seagate, UK), Jean-Thomas Acquaviva (DDN, France)
    • 09:00 Morning Academic Session
    • 10:30 Virtual Refreshment Break
    • 11:00 Lab Session
  • 12:30 Virtual Lunch Break
  • 13:30 Middleware and File Formats – Chair: Julian Kunkel (University of Reading, UK), Sadie Bartholomew
    • 13:30 Afternoon Academic Session
    • 15:00 Virtual Refreshment Break
    • 15:30 Lab Session
    • 16:30 Breakout Session

Wednesday - Data Analytics

The morning session takes place at ECMWF.

  • 09:30 Machine Learning – Chair: Peter Dueben (ECMWF, UK)
    • 09:30 Morning Academic Session
    • 10:30 Virtual Refreshment Break
    • 11:00 ECMWF - Virtual Visit
  • 12:30 Virtual Lunch Break
  • 13:30 High-Performance Data Analytics and Visualisation – Chair: Sandro Fiore (CMCC, Italy), Niklas Röber (DKRZ, Germany)
    • 13:30 Afternoon Academic Session
    • 15:00 Virtual Refreshment Break
    • 15:30 Lab Session: A hands-on to extract and visualise traces.
    • 16:30 Breakout Session

Thursday - Supporting Tools

  • 09:00 Performance Analysis – Chair: Kim Seradell, Mario Acosta (BSC, Spain)
    • 09:00 Morning Academic Session
    • 10:30 Virtual Refreshment Break
    • 11:00 Lab Session
  • 12:30 Virtual Lunch Break
  • 13:30 Containers – Chair: Alberto Madonna (ETH Zürich, Switzerland), Simon Wilson (NCAS, UK)
    • 13:30 Afternoon Academic Session
    • 15:00 Virtual Refreshment Break
    • 15:30 Lab Session
    • 16:30 Breakout Session

Friday - Keynote and conclusions

  • tbd
  • 12:30 Closing Remarks and Farewell
  • 12:45 End of the Summer School Programme

It is free to attend the virtual summer school, however, registration is required!

Important Dates

  • June - Summer school program is released
  • July - Registration deadline for the summer school
  • 23-27 August 2020 – Summer School on Effective HPC for Climate and Weather
  • Mid-September – Selected presentations will be made available, and certificates will be sent to all attendees

Use the following form to register: Google Account

Everyone interested in joining us for five days of learning and debating HPC systems for Climate and Weather applications is welcome! We required that all participants that want to attend the main event make a formal registration. Check Section Registration. We hope that we won't have to select the attendees but depending on the number of registrations, we might have to. In 2020, we had 162 attendees. If selection will have to take place, the selection procedure for applicants will be conducted by a committee that oversees the registration to make sure we balance the attendance across countries and gender and support those in need. The committee will prioritise diversity and internationality.

Applicants will have to submit:

  1. Some statistical information about themselves
  2. Brief CV

Considering that the main idea behind the summer school is spreading concepts on effective HPC for climate and weather, typically only one applicant will be selected per university/company. Applicants that do not require funding from the summer school will have priority to ensure that more people will benefit from the proposal.

The selected applicants should bring their personal computers. Please, indicate the availability of a laptop to the organisers with your application.

The target audience for the summer school is Earth system scientists, including PhD students and young researchers, and software engineers in the domain. While each of our topics will be introduced, the attendees should have a basic understanding of:

  • Python
  • Linux
  • The general computational aspects of a climate/weather model

For attendees without prior experience, the following links provide some references to cover significant aspects of the contents mentioned above.

  • Julian Kunkel (University of Reading)
  • Sophie Valcke (Cerfacs)

The Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE) addresses world challenges pushing the limits of science. It benefits the broader community by providing services and training opportunities.

As part of the ESiWACE2 project, we are organising this summer school to bridge the gap between scientists and computational science and increase the effectiveness of young scientists. The main goal of this event is the training of representative scientists from different institutions with state-of-the-art concepts tailored to the domain, but that also stretches beyond climate and weather, allowing them to act as a multiplier and increase productivity overall.

ESiWACE is funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 823988.

A detailed list of topics can be found in the programme.
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