In today's competitive product development, high performance computing (HPC) delivers outstanding value and investment return. Parallel computing increases understanding, productivity and accuracy of the simulation - a faster turnaround, reduced costs, systematic design variations and more complex models.
In this training course we will focus to classical Big data topics (using Hadoop and Rhadoop for big data management and analysis) and to very recent container technologies. This will be a four-day course.
For now we are still planning to carry out the course in person as well as online. If due to COVID we won't be able to organize it in person, we will proceed with the training online only.
The PRACE Autumn School 2020 is FREE OF CHARGE and targets at industrial and academic users active in (big) data management and analysis domain. Case studies and hands-on tutorials will be carried on the ULFME cluster. The tutorials will be held in sessions, depending on the applicants' interest indicated in the registration questionnaire.
In case of too many registrations (over 70) we will make a selection of registrants.
Head of organising committee: Assoc. prof. dr. Janez Povh.