18-22 June 2018
Universidad Internacional Menéndez Pelayo
Europe/Rome timezone

This course is targeted at specialists and students at the different academic levels (master, graduate students, PhD candidates, postdoctoral students and senior scientists) interested in current research trends regarding compute intensive data analytics techniques over massive amounts of data, making special emphasis on Deep Learning, over High Performance Computing (HPC) and hybrid Cloud Platforms.

The first half of the course is devoted to the study and analysis of different use cases in different areas (such a Astrophysics and Particle Physics, Bioinformatics and Biodiversity) and presenting the new challenges and solutions on the Extreme DataCloud. Over these sessions an in depth analysis and consolidation of technical requirements will be performed, with the objective of understanding the present and future challenges that are to be tackled in these scientific areas over the next years.

The last part of the course will consist on the description of a practical deployment and implementation of the tools required to perform the aforementioned massive data processing on top of a cloud computing environment. Also, the integration of existing HPC systems (like supercomputers) in cloud environments will be tackled. This integration can be considered as a new way of hybrid cloud, making it possible to scale up the resource limitations of a given private cloud over a specialized provider. All this discussion will be framed in the context of the European Open Science Cloud and its framework, being focused on the researchers requirements and the different computing platforms present at both the national and European level.

For more information, please visit the Event WebPage

Universidad Internacional Menéndez Pelayo
Palacio de la Magdalena 39005 Santander (Spain)