The use of Supercomputing is wide spreading, constituting an essential component in many fields of science. The interest in the use of High Performance Computation (HPC) is increasing in a growing population of undergraduates and postgraduates, because the use of these infrastructures allows them to improve their skills and the results of their training.
For this reason, the demand of training on supercomputing increases continuously. In this track we intend to focus on the factors that have to be taking into account for improving training in Supercomputing, in order to improve the results of researchers in higher education organizations, to identify the limitations of Supercomputing training, and to provide solutions for these limitations.
In particular, we are interested on experiences and tools to facilitate the parallelization of existing code, training of researchers and professionals with non-IT backgrounds, recycling of IT professional for the HPC ecosystem, learning methodologies, tools and experiences for training of computer science students in parallel programming.
- Education in Supercomputing
- HPC for learning analytics
- Supercomputing for education
- Educating non-IT researchers in HPC
- Parallel programming teaching
Track Scientific Committee
Vicente Matellán Olivera (Centro de Supercomputación Castilla y León, Spain) – Chair
José Luis González Sánchez (Centro de Supercomputación de Extremadura, Spain) – Chair
Ángel Manuel Guerrero Higueras (Universidad de León, Spain)
Mario Martínez Zarzuela (Universidad de Valladolid)
Lidia Sánchez (Universidad de León, Spain)
Manuel C. Arenaz (Appentra Solutions SL & Universidade da Coruña)
Jesús Lorenzana Campillo (Centro de Supercomputación de Castilla y León, Spain)
Maria Ribera Sancho (Barcelona Supercomputing Centre – Centro Nacional de Supercomputación)