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.

The full programme is available in the Summer School Booklet.

Lecturer	Title	Download
Peter Bauer, ECMWF	L1. Introduction to ESCAPE project
Eigil Kaas, UCPH	L2. Numerical weather prediction and specific challenges
Jens Hesselbjerg Christensen, UCPH	L3. Climate modelling and specific challenges
Jun She, DMI	L4. European ocean modelling and specific challenges
Andrzej Wyszogrodzki, PSNC	L5. Atmospheric boundary layer, dispersion, removal and physiography
Eigil Kaas, UCPH	L6. Numerical methods & data assimilation
Bent H. Sass, DMI	L7. Verification and quality assurance of numerical weather prediction systems
Daan Degrauwe, RMI	L8. Dwarf – Spherical harmonics & bi-Fourier
Zbigniew Piotrowski, PSNC	L9. Dwarf – ADVECTION
Andrzej Wyszogrodzki, PSNC	L10. Dwarf – ELIPTIC SOLVER
Kristian P. Nielsen, DMI	L11. Dwarf – ACRANEB2
Oisin Robinson, ICHEC	L12. Dwarf – LAITRI  ( LAgrangian Interpolation TRI-linear) Optimization of IFS subroutine LAITRI on Intel Knights landing
Jacob W. Poulsen, Per Berg, DMI	L13. Hardware, architecture, paradigms, optimization – Part 1: Tuning Implementation of the Dwarf
Jacob W. Poulsen, Per Berg, DMI	L14. Hardware, architecture, paradigms, optimization – Part 2: Tuning Implementation of the Dwarf
Brian Vinter, UCPH	L15. Hardware, architecture, paradigms, optimization – Part 3: Low Power and High Performance Processing with FPGAs
Andreas Mueller, ECMWF	L16. Tools for benchmarking & diagnostics – Part 1: High performance computing and benchmarking for NWP
Alastair McKinstry, ICHEC	L17. Tools for benchmarking & diagnostics – Part 2: Use of Domain-Specific languages for NWP
Alastair McKinstry, ICHEC	L18. Tools for benchmarking & diagnostics – Part 3: Strategies for OpenMP and OpenACC
Andreas Mueller, ECMWF	L19. ESCAPE Future challenges & new dwarfs

Organizing Committee

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

Target audience

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 University

H.C. Ørsted Institute

Detailed information on location and accommodation options will be published on this page.