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7th ENES HPC Workshop (Barcelona, 2022)

last modified May 13, 2022 09:55 AM

The 7th ENES HPC workshop will take place as an hybrid event at Barcelona Supercomputing Center (BSC, Barcelona) from Monday, May 9 to Wednesday, May 11 2022.

IS-ENES3 organises this workshop of the European Network for Earth System modelling (ENES) in collaboration with ESiWACE2. It will gather experts on HPC in earth system modelling at an hybrid event. A streaming service for remote participants (including speakers) will be available but after those 2 years of very scarce social interactions due to the pandemic, we strongly encourage everyone to travel and physically attend the workshop.
Building on the previous ENES HPC workshops (Lecce, 2011 & 2018; Toulouse, 2013 & 2016; Hamburg, 2014 & 2020), the talks are structured in five sessions:

Session 1:    European and International HPC Landscape
Session 2:    Mix traditional modeling with Machine Learning 
Session 3:    Performance
Session 4:    Heterogeneous architectures (accelerators)
Session 5:    Data Worflows

 You can download the detailed agenda here, and the abstracts here.

In order to organise your stay, you can find the instructions to access the BSC venue here and a list of hotels in Barcelona here.

The social dinner will be at the Arenal restaurant, located at Passeig Marítim de la Barceloneta, s/n, 08003 Barcelona (here in Google Maps).

Contact: sophie.morellon[a]lsce.ipsl.fr

Presentations

Session 1: European and International Landscape Joachim Biercamp & Jenni Kontkanen
Strengthening the European HPC communities by addressing the skills and competence level Bastian Koller (HLRS, CASTIEL, EuroCC)
Lumi - the first EuroHPC pre-exa system Jenni Kontkanen (CSC)
ARMing the IFS: Experiments and experiences from porting the ECMWF model to Fugaku Samuel Hatfield (ECMWF)
Numerical Climate and Weather Modeling on the China Earth System Simulator Yongqiang Yu (LASG, Institute of Atmospheric Physics)
DestinE: opportunities & challenges for digital twins of the Earth System Nils Wedi (ECMWF)
HPC Challenges for CMIP: lessons from CMIP6 and potential next steps Jean François Lamarque (NCAR)
Session 2: Mix traditional modeling with ML Jean-Claude André & V. Balaji
Machine learning for weather and climate predictions Peter Dueben (ECMWF)
High-Tune Explorer: a tool to accelerate model calibration based on process-oriented metrics Fleur Couvreux (Météo-France)
Skilful precipitation nowcasting using deep generative models of radar Suman Ravuri (Google Deep Mind)
Fourier Neural Operators for Fast Weather Modeling Anima Anandkumar (CalTech & NVIDIA)
Building digital twins of the Earth for NVIDIA’s Earth-2 initiative Karthik Kashinath (NVIDIA)
Session 3: Performance Sophie Valcke & Mario Acosta
CPMIP performance metrics for CMIP6: Lessons, recommendations and next steps Mario Acosta (BSC)
Performance optimization in NEMO ocean model Italo Epicoco (CMCC)
The new load balancing tool in OASIS3-MCT_5.0 Eric Maisonnave (CERFACS)
The Potential of Functional Concurrency in W&C models Reinhard Budich (MPI)
PoP Studies of Earth Sciences Codes Jesus Labarta (BSC)
Recent Atlas library developments for Earth system modelling Willem Deconinck (ECMWF)
On the energy costs of data production, data transfer and data storing Jean-Claude André (CERFACS)
Session 4: Heterogeneous architectures (accelerators) Sylvie Joussaume & Italo Epicoco
Preparing ICON for heterogeneous architectures - Experiences and the way forward Claudia Frauen (DKRZ)
PSyclone in Met Office: Evolution and revolution Iva Kavcic (UK Met)
Accelerating tracer transport in FESOM-2 with GPU's Gijs van den Oord (NLeSC)
CAMP First GPU Solver: A Solution to Accelerate Chemistry in Atmospheric Models Christian Guzman (BSC)
Preparing IFS for HPC accelerators via source-to-source translation Michael Lange (ECMWF)
Enabling large scale modeling on GPU accelerated nodes for NCAR's next supercomputer Derecho Thomas Hauser (NCAR)
E3SM’s C++ based GPU strategy and latest performance Mark Taylor (PNL)
Session 5: Data Workflow Kim Serradell & Jean-Christophe Rioual
Nobody needed all those bits anyway: compressing atmospheric data into its real information content Milan Klöwer (Oxford)
Fostering lossy compression in the European Earth System Modelling community: SZ compressor and XIOS I/O server as a case study Xavier Yepes (BSC)
Data-Centric workflows in Exascale Weather Forecasting Tiago Quintino (ECMWF)
ExCALIData: Exascale I/O & Storage and Workflow Grenville Lister (NCAS)
Semantic access to gridded weather data based on zarr Gabriela Aznar (MSwiss)
Towards HPC and Big Data convergence for climate analysis at scale Donatello Elia (CMCC)