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WP5 High-Performance Computing Overview

Learn about HPC workflows, code optimization, and research collaborations in numerical glaciology for climate modeling. Connect with experts to tackle scientific workflow challenges and optimize code for high-performance computing.

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WP5 High-Performance Computing Overview

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  1. WP5 High-Performance ComputingOverview Helmut Neukirchen (UICE), Shuting Yang (DMI), Thomas Zwinger (CSC)

  2. WP5 Subtasks • Workflows/Coupling (UICE), • Focus on ESM (DMI), • Porting/Optimization (CSC). 2

  3. WP5 General approach • Most WP5 work is rather service on demand: • Many partners using HPC/eScience in different aspects. • Consulting and collaborating role. • We are not aware of your HPC/eScience problems in your WPs: please contact us! • Transfer of know-how: visits, training (WP6), • Synergies, for instance across ESM’s (WP4), • Build on existing concepts. 3

  4. Need to improve collaboration between WPs • For porting/optimisation of code,visualisation: • Contact Thomas Zwinger @ CSC. • If you have use cases for scientific workflow tools • (=couple existing tools together, start and monitor remote jobs, restarts crashed jobs, join results/copy results between different HPC clusters): • Contact Helmut Neukirchen @ Uni Iceland. 4

  5. UICE in WP5: Workflows/Coupling • Continuing research on coupling Glaciology models. • Based on 2016 presentation in Stockholm: continuation of SVALI work by Dorotheé Vallot (Uni Uppsala) and Thomas Zwinger (CSC). • More in presentation by Shahbaz Memon to follow. • Outlook: • Intended to apply for Dellingr resources for Glacialogy workflow. • See following NeIC presentation for Dellingr and more. • eSTICC use case presented at NeIC meeting next week. • FLEXPART workflows? • Machine learning workflows together with Hannele Korhonen and Antti Lipponen from Finnish Meteorological Institute? 5

  6. UICE in WP5: Publications with eSTICC attribution • Shahbaz Memon, Dorothée Vallot, Thomas Zwinger, and Helmut Neukirchen: Coupling of a continuum ice sheet model and a discrete element calving model using a scientific workflow system, Geophysical Research Abstracts, Vol. 19, EGU2017-8499, EGU General Assembly 2017. • Shahbaz Memon, Gabriele Cavallaro, Morris Riedel, Helmut Neukirchen: Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE 2017. • Shahbaz Memon, Morris Riedel, Andrew Grimshaw, Helmut Neukirchen, Matthias Book, Peter Kascuk, Márton István, Ákos Hajnal and Daniel Dougherty: Enabling Scientific Workflow and Gateways using the standards-based XSEDE Architecture, 7th IEEE International Conference on Information & Communication Technologies (ICICT) 2017, IEEE 2017 6

  7. CSC in WP5: Optimization • Started to plan for cooperation with MetNor/Bergen for optimizations in NorESM2/CAM: • CSC earlier managed to significantly increase the speed of idealized lookup tables (Alf Grini). • CSC involved in Intel Parallel Computing Center: • Porting and Optimization work done for Elmer on MICs (Many Integrated Core). • First hands on new CPU generation.

  8. CSC in WP5: Publications • 5 peer reviewed publications including eSTICC acknowledgments since last year: • Gong, Y., T. Zwinger, S. Cornford, R. Gladstone, M. Schäfer, and J.C. Moore, 2016. Importance of basal boundary conditions in transient simulations: case study of a surging marine-terminating glacier on Austfonna, Svalbard, Journal of Glaciology, pp. 1–12, doi:10.1017/jog.2016.121. • Einarsson, B., T. Jóhannesson, T. Thorsteinsson, E. Gaidos, and T. Zwinger, 2017. Subglacial flood path development during a rapidly rising jökulhlaup from the western Skaftá cauldron, Vatnajökull, Iceland, Journal of Glaciology, 1-13, doi:10.1017/jog.2017.33. • Välisuo, I., T. Zwinger and J. Kohler, 2017. Inverse solution of surface mass balance of Midtre Lovénbreen, Svalbard, Journal of Glaciology, 1-10, doi:10.1017/jog.2017.26. • Benn, D.I., J. Åström, T. Zwinger, J. Todd, F.M. Nick, S. Cook, N.R.J. Hulton, and A. Luckman, 2017. Melt-under-cutting and buoyancy-driven calving from tidewater glaciers: new insights from discrete element and continuum model simulations, Journal of Glaciology, 1-12, doi:10.1017/jog.2017.41. • Byckling, M., J. Kataja, M. Klemm and T. Zwinger, 2017. OpenMP SIMD Vectorization and Threading of the Elmer Finite Element Software, Proceedings 13th International Workshop on OpenMP, Springer Lecture Notes,123-137, doi:10.1007/978-3-319-65578-9_9 • 3 more papers in review at peer review journals

  9. WP5 Highlights • Key contribution of WP5: • Enabled resource-intensive climate modelling that would not have been possible without WP5’s HPC porting & optimisation! 9

  10. Presentations in this WP5 session (10:40-12:20) • Shahbaz Memon (UICE/Jülich Supercomputing Centre): Scientific workflows for different data analysis models (20 mins) • Thomas Zwinger (CSC): Code optimization and application support in numerical glaciology (30 mins) • Tomasz Malkiewicz (NeIC): Current and future NEIC project activities (30 mins) • Note: WP5-related presentation of Shuting Yang (DMI) already given in WP4. 10

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