E-CAM Final Report
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• ESDW on Load Balancing for Particle Simulations, 6-7 September 2018 (1st part) and 3-7 June 2019 (2nd part), Forschungszentrum Jülich, Jülich Supercomputing Centre, Germany. Workshop report. • ESDW on Mesoscopic simulation models and High-Performance Computing, 14 - 18 October 2019, Aalto University & CSC IT Center for Science, Finland. Workshop page. • ESDW in HPC for mesoscale simulation, 18 - 22 January 2021, Online/CECAM-UK-DARESBURY, Daresbury Laboratory, UK. Workshop page. A training session on the E-CAM Load Balancing ALL took place on the 11th December 2020, in the form of a webinar. Three key lectures have been recorded and stored on E-CAM’s Online training portal here.
Societal impact The societal benefits of the results achieved in WP4 of E-CAM are twofold. At the fundamental level, the software modules developed are expected to provide new avenues for material modeling and will make it possible to have an impact on the prediction of the properties of new materials, and in general in material science. This will be complemented by the tools developed within the project to improve performance and scalability of the codes (such as the ALL), with potential for benefiting the broader community. At an economic level, industry will benefit from software containing efficient and easy to use simulation and analysis tools to extract observables for applications in sectors such as pharma, materials or house-hold products. These developments can provide support in applications including but not limited to: • Drug handling: kinetics of biopolymers, proteins and membrane interactions; • Food/dairy industry: protein aggregation, grain size in ice cream, food preservation, food stability and texture control; • Tyre industry: development of novel composite materials, determination of rheological properties of materials; • Materials science and daily products: surfactant kinetics, material stability, soft matter, self-assembly of nanomaterais, colloids, liquid crystal based materials, liquid-surface interactions; • Oil industry: studies of flow in porous media. Society can benefit greatly from the development of new computational algorithms and the corresponding software that make the development of new materials cheaper and improve food quality and products in daily use.
3.5 WP5, Training The pillars of the training in E-CAM were the ESDWs, transversal training events in collaborations with PRACE, and the online training infrastructure. We held 30 training events during E-CAM (18 of which, ESDWs); trained 474 participants at different stages of their careers at these events, and ESDW participants opened 90 software modules that were certified. Lectures originating from these events were recorded in our training portal at https://training.e-cam2020.eu/. E-CAM’s online training portal is built is Clowder, which is developed at NCSA. Clowder is a research data management system designed to support any data format and multiple research domains. E-CAM has expanded the capabilities of Clowder to be able to, among other things: • shrink the input video to just 1.2MB per minute for full HD video (roughly the same size as simple stereo audio files) • extract the slides from the captured presentation and prepare them for the previewer • create a navigation panel for the video allowing the user to easily jump between slides in the video (and allowing slide navigation to be auto-synchronised with the video) • when URLs are given as teaching material, display previews of target URL (as well as some additional site information)
