University of Copenhagen, Denmark - 7 - 12 August 2017
Aim
This YSSS will introduce young generation of researchers in numerical weather prediction, ocean, climate relevant topics as well as modern computational physics & energy efficient computing. During the school, the pa
rticipants will get familiar with ESCAPE dwarfs – fundamental algorithmic building block – and recognize why HPC and energy‐efficient computations are important. The programme will include theoretical lecture material as well as practical exercises (to be realized by students as small‐scale research projects started from the 1st day of the school with defence of project results) on selected dwarfs.
Programme
- Block 1. Fundamentals of atmospheric processes and modelling
- Block 2. Numerics, assimilation, evaluation and verification
- Block 3. ESCAPE dwarfs
- Block 4. Hardware, benchmarking, diagnostic tools for code development and improvement
- Practical Exercises as Small‐Scale Research Projects (SSRP) on selected ESCAPE dwarfs to be realized by groups of students led by teachers (designers of the dwarf)
Lecture Material
Lecturer |
Title
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Download |
Peter Bauer, ECMWF |
L1. Introduction to ESCAPE project |
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Eigil Kaas, UCPH
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L2. Numerical weather prediction and specific challenges |
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Jens Hesselbjerg Christensen, UCPH
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L3. Climate
modelling and specific challenges |
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Jun She, DMI
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L4. European ocean modelling and specific challenges |
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Andrzej Wyszogrodzki, PSNC
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L5. Atmospheric boundary layer, dispersion, removal and physiography |
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Eigil Kaas, UCPH
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L6. Numerical methods & data assimilation |
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Bent H. Sass, DMI
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L7. Verification and quality assurance of numerical weather prediction systems |
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Daan Degrauwe, RMI
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L8. Dwarf – Spherical harmonics & bi-Fourier |
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Zbigniew Piotrowski, PSNC
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L9. Dwarf – ADVECTION |
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Andrzej Wyszogrodzki, PSNC
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L10. Dwarf – ELIPTIC SOLVER |
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Kristian P. Nielsen, DMI
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L11. Dwarf – ACRANEB2 |
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Oisin Robinson, ICHEC
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L12. Dwarf – LAITRI ( LAgrangian Interpolation TRI-linear) Optimization of IFS subroutine LAITRI on Intel Knights landing |
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Jacob W. Poulsen, Per Berg, DMI
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L13. Hardware, architecture, paradigms, optimization – Part 1: Tuning Implementation of the Dwarf |
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Jacob W. Poulsen, Per Berg, DMI
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L14. Hardware, architecture, paradigms, optimization – Part 2: Tuning Implementation of the Dwarf |
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Brian Vinter, UCPH
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L15. Hardware, architecture, paradigms, optimization – Part 3: Low Power and High Performance Processing with FPGAs |
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Andreas Mueller, ECMWF
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L16. Tools for benchmarking & diagnostics – Part 1: High performance computing and benchmarking for NWP |
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Alastair McKinstry, ICHEC
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L17. Tools for benchmarking & diagnostics – Part 2: Use of Domain-Specific languages for NWP |
 | Alastair McKinstry, ICHEC
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L18. Tools for benchmarking & diagnostics – Part 3: Strategies for OpenMP and OpenACC |
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Andreas Mueller, ECMWF
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L19. ESCAPE Future challenges & new dwarfs |
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Eigil Kaas, University of Copenhagen, Denmark
Brian Vinter, University of Copenhagen, Denmark
Bent Sass, Danish Meteorological Institute, Denmark
Alexander Mahura, Danish Meteorological Institute, Denmark/ University of Helsinki, Finland
Michal Kulczewski, Poznan Supercomputing and Networking Center, Poland
Andrzej Wyszogrodzki, Poznan Supercomputing and Networking Center, Poland
Peter Bauer, European Centre for Medium‐Range Weather Forecasts, UK
Daniel Thiemert, European Centre for Medium‐Range Weather Forecasts, UK
Early Stage Researchers (less than PhD + 10 year)
BSc degree is the minimum requirement
Selection criteria
Background on weather and climate modelling & high performance computing
Motivation letter
Other skills (e.g. programming, etc.)
CV & publication list
Registration Deadline (extended): 31st March 2017 1st May 2017
Language: English
Costs: No Fee
Please send your application package (application form, motivation letter, CV & Publication lists) to: Bent Sass (bhs@dmi.dk).
Location
Copenhagen UniversityH.C. Ørsted Institute
Detailed information on location and accommodation options will be published on this page.
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