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Training Material

Numerical Weather Prediction
Title    Topics Covered  Presenter 
Introduction to NWP Why it is worth to make a weather forecast, the basic idea behind NWP, how to use observations, introduction to the advection problem differentiating spatial discretization methods. Dr Andreas Mueller / ECMWF
Introduction to MPDATA Advection problem, analytical solution, MPDATA dwarf Dr Zbigniew Piotrowski / PSNC/IMGW 

High Performance Computing
Title    Topics Covered  Presenter 
Introduction to HPC Overview on HPC from historic perspective, various code optimisation techniques, different code efficiency estimation Michał Kulczewski / PSNC
Performance Modelling Advanced modelling performance of the application, differences between compute-bound and memory-bound applications, basic usage of hardware performance counters, roofline model Miłosz Ciżnicki / PSNC

Young Scientist Summer School 2017
Lecturer Topic 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

Authors/ Lecturers
Name Bio & Expertise Contract
Dr Andreas Mueller Andreas Mueller is a scientist in the numerical methods group at the European Centre for Medium-Range Weather Forecasts (ECMWF). After his MSc in physics he developed a computer model for the simulation of atmospheric moist convection that allowed to use adaptive mesh refinement. He finished his PhD in the group of Prof. Volkmar Wirth at the University of Mainz in Germany in 2012. After finishing his PhD he was a visiting fellow in the program "Multiscale Numerics for the Atmosphere and Ocean" at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK. In 2012, he received a four year grant by the National Research Council in Washington DC to work on optimizing the atmospheric model NUMA in the group of Prof. Francis X. Giraldo at the Naval Postgraduate School. Andreas moved to ECMWF in 2016 where he is working in the ESCAPE project on developing energy efficient scalable algorithms for weather prediction at exascale andreas.mueller (at)
Dr Zbigniew Piotrowski zbigniew.piotrowski (at)
Milosz Ciznicki miloszc (at)