Shaun de Witt: Example for an EOSC-hub Competence Centre example - Fusion (EOSC hub week, Malaga, 16 - 20 April 2018)

1. CCFE is the fusion research arm of the United Kingdom Atomic Energy Authority.
This work was part-funded by the RCUK Energy Programme [grant number EP/I501045]
and the European Union’s Horizon 2020 research and innovation programme.
Small Scale HPC for Big Science
Shaun de Witt
shaun.de-witt@ukaea.uk
EOSC-Hub Public Day
Malaga, April 2018

2. • Background
• EOSCpilot Work and Preliminary Results
• EOSC-Hub Planned Work
• Conclusions
Agenda

3. • Making a Sun on Earth
– Fusing nuclei together
– Brings together compute intensive disciplines
• UQ, FEM, Radiative Transfer, Neutronics, spin lattice
dynamics,
• The Numbers – JET/ITER:
– Plasma Temperature: >100x106 (150x106) C
– Plasma Density: ~10-6 (10-5) atmospheric
– Duration of ‘shot’: 5-20 sec (350 sec)
– Input Power: 35 (50) MW
– Output Power: ~4.5 (500) MW
– Data Rate: 600 GB/day (2PB/day)
The Science

4. Data Scales in Fusion
1
10
100
1000
10000
100000
1000000
10000000
100000000
MAST JET 2007 JET 2017 ITER DEMO
VolumeofData(GB/Day)
Daily Data Volumes

5. Difference between LHC/SKA and ITER
Concept Design BuildModel Data
Science
Concept Design BuildModel Data Engine
ering

6. • Address part of the computing problem
– Scalability
• Cloud Bursting
– Running MPI and Open-MP applications
• In containers
– Makes use of a number of INDIGO components EGI FedCloud
Resources
• IM, Orchestrator, udocker,
– Tested with Geant-4 and Serpent
• Very Successful…
EOSCpilot

7. EOSCpilot Resource Usage

8. EOSCpilot Results
Image Courtesy of Andrew Lahiff, CCFE Image Courtesy of Jonathan Shimell, CCFE

9. • Combining Computing AND Data
– Increasing ITER Relevance
• DATA
– Data Federation and Distribution
• OneData, B2SAFE and Dynafed
• Data Readable and Writable using ITER middleware
• Computing
– Testing Cloud Deployment of IMAS
• Extending work of EOSCpilot
• AAI
– Integrating Proposed Fusion AAI into EOSC
EOSC-hub

10. • EOSCpilot has allowed us to successfully demonstrate the
usage of cloud computing for HPC work
– Both MPI and Open-MP
• EOSC-Hub will allow us to demonstrate
– ITER relevance of the work done on pilot
– Support EUROFusion Open Data policies
– Integrate Data Federation and Cloud Computing
Summary

11. • We would like to thank the following for use of cloud
resources in EOSCpilot:
– EGI Federation, CESGA, CESNET, IN2P3, ReCaS-Bari
• And the support provided by INDIGO-Datacloud in making the
demonstrator a success
Acknowledgements