18th Workshop on high performance computing in meteorology - Programme

10:00-10:30

ECMWF’s research directions
Andy Brown, ECMWF

10:30-11:00

High resolution simulations with ICON: lessons learned
Luis Kornblueh, Max Planck Institute for Meteorology

11:00-11:30

Coffee break

11:30-12:00

DWD's operational roadmap: Implications for computation, data management and data analysis
Florian Prill, DWD

12:00-12:30

Computational aspects and performance evaluation of the IFS-XIOS integration
Xavier Yepes Arbós, Barcelona Supercomputing Center

12:30-13:00

NCAR’s computing directions
Anke Kamrath, UCAR

13:00-14:15

Lunch break

14:15-14:45

Met Office HPC update
Paul Selwood, Met Office

14:45-15:15

Highly efficient parallel Kalman smoothing for re-analysis
Tuomo Kauranne, Lappeenranta University of Technology

15:15-15:30

Introduction to vendor exhibition

15:30-16:00

Coffee break

16:00-17:30

Vendor exhibition (Classroom)

Optional Computer Hall tours

17:30

Drinks reception

09:00-10:00

Keynote address: How Arm's entry into the HPC market might affect meteorological codes
Simon McIntosh-Smith, University of Bristol

Euro talks

10:00-10:30

Progress report on ECMWF's scalability programme
Peter Bauer, ECMWF

10:30-11:00

The European HPC strategy and implementation
Andrea Feltrin, European Commission

11:00-11:30

Coffee break

11:30-12:00

The EuroEXA Project - Co-Design for HPC from facility to application
Peter Hopton, Iceoptope

12:00-12:30

Energy-efficient Scalable Algorithms for Weather Prediction at Exascale (ESCAPE)
Nils Wedi, ECMWF

12:30-13:00

ESiWACE, the Center of Excellence for Climate and Weather Simulation in Europe
Joachim Biercamp, DKRZ

13:00-14:15

Lunch break

14:15-14:45

EPiGRAM-HS: Programming Models for Heterogenous Systems at Exascale
Erwin Laure, KTH

14:45-15:15

The NextGenIO project
David Henty, EPCC

15:15-15:45

Coffee break

15:45-16:15

Towards Enabling Memory- and Data-Aware HPC
Dirk Pleiter, Forschungszentrum Jülich

16:15-17:30

Panel: European research roadmap towards Exascale
Chair: Andrea Feltrin

17:30

Drinks and vendor exhibition

09:00-10:00

Keynote address: Tackling the Simulation and Analysis Frontiers of Atmospheric and Earth System Science
Richard Loft, NCAR

10:00-10:30

Machine learning applied to Satellite Observations
Jebb Stewart, Colorado State University - CIRA

10:30-11:00

An update of HPC at the JMA
Toshiharu Tauchi, Japan Meteorological Agency

11:00-11:30

Coffee break

11:30-12:00

The Influence of Exascale Architectures on Earth System Modeling in NASA
William M. Putman, CISTO, NASA GSFC

12:00-12:30

Performance Study of Climate and Weather Models: Towards a More Efficiently Operational IFS
Mario Acosta Cobos, Barcelona Supercomputing Center

12:30-13:00

Modernizing U. S. Navy NWP Operations: Toward Distributed HPC
Timothy Whitcomb, US Naval Research Laboratory

13:00-14:15

Lunch break

14:15-14:45

Supercomputing at the US National Weather Service
Rebecca Cosgrove, NOAA/National Weather Service

14:45-15:15

Premier implementation of GRAPES-GLB on Sunway Taihu Light
Zhiyan Jin, National Meteorological Center of China

15:15-15:45

Coffee break

15:45-16:15

Reduced Precision Computing for Numerical Weather Prediction
Leo Saffin, University of Oxford

16:15-16:45

Variable-resolution weather and climate modeling using GFDL FV3
Lucas Harris, NOAA/GFDL

16:45-17:15

Developing NEPTUNE on HPC for U.S. Naval Weather Prediction
John Michalakes, UCAR/Naval Research Laboratory

17:30-18:30

Pre-dinner drinks

18:30

Workshop dinner

20:30  

Coach transport to Reading town centre

09:00-10:00

Keynote address: A (c)loud revolution in meteorology and climate
Wilco Hazeleger, eScience Center

10:00-10:30

Towards a new dynamical kernel in GEM
Vivian Lee, Environment and Climate Change Canada

10:30-11:00

An Update of CMA HPC System
Min Wei, CMA

11:00-11:30

Coffee break

11:30-12:00

Model Development Activities at NOAA Targeting Exascale
Mark Govett, NOAA Earth System Research Laboratory

12:00-12:30

Modernizing Scientific Software Development
Christopher Harrop, Cooperative Institute for Research in Environmental Sciences

12:30-13:00

OMNI/O: A Tool for I/O Recording, Analysis, and Replay
Bryan Flynt, Colorado State University

13:00-14:15

Lunch break

14:15-14:45

Running ARPEGE-NH at 2.5km
Philippe Marguinaud, Météo-France

14:45-15:15

Overcoming Storage Issues of Earth-System Data with Intelligent Storage Systems
Julian Kunkel, University of Reading

15:15-15:45

Coffee break

16:00-17:15

Panel: Convergence of HPC and the Cloud
Chair: Dan Still

17:15

Drinks and vendor exhibition

09:00-09:30

Prototyping an in-situ visualisation mini-app for the LFRic project
Samantha Adams, Met Office

09:30-10:00

FPGA Acceleration of the LFRic Weather and Climate Model in the EuroExa Project Using Vivado HLS
Mike Ashworth, University of Manchester

10:00-10:30

Accelerating Weather Prediction with NVIDIA GPUs (ESCAPE project)
Alan Gray, NVIDIA

10:30-11:00

Coffee break

11:00-11:30

Optimisation of Data Movement in Complex Workflows
Harvey Richardson, Cray EMEA Research Lab

11:30-12:00

WRF-GO: a workflow manager for low latency meteo predictions and applications
Emanuele Danavaro, CIMA

12:00-12:30

Implications of moving towards a Continuous Data Assimilation system
Peter Lean, ECMWF

12:30-12:45

Closing remarks

12:45

End of workshop

Applying DDN to machine learning

Jean-Thomas Acquaviva (DDN Storage)

HPE

Simon Appleby (HPE)

Challenges and Solutions for Data-Intensive Earth Sciences Work

Ilene Carpenter (Cray Inc)

Mellanox Technologies

Steve Davey (Mellanox)

ATOS

Andy Grant (ATOS)

New developments at the Portland Group

David Norton (The Portland Group/NVIDIA)

NVIDIA HPC and AI Developments for Earth System Modelling

Stan Posey (NVIDIA Corporation)

Porting RAPS to the ARMV8-A architecture

Philip Ridley (Arm Ltd)

Introducing a powerful general purpose CPU accelerates Arm HPC ecosystem prosperity

Toshiyuki Shimizu (Fujitsu Limited)

IBM in HPC and a focus on weather and climate

Francois Thomas (IBM France)

Verne Global hpcDIRECT

Wil Wellington (Verne Global)