An Innovative Teaching Strategy to Understand High-Performance Systems through Performance Evaluation
Gonzalo Zarza, Diego F. Lugones, Daniel Franco, Emilio Luque · Procedia Computer Science · 2012
Nowadays, the study of high-performance computing (HPC) is one of the essential aspects of postgraduate pro-grammes in Computational Science. However, university education in HPC often suffers from a significant gap between theoretical concepts and the practical experience of students. To face this challenge, we have implemented an innovative teaching strategy to provide students appropriate resources to ease the assimilation of theoretical con-cepts, while improving their practical experience through the use of teaching tools and resources specifically designed to promote active learning. We have used the proposed strategy to organize the module of Parallel Computers and Architectures of the Master's in High-Performance Computing, at the Universitat Aut‘onoma de Barcelona, obtaining very promising results. In particular, we have observed improvements of both the academic marks of students and the perception about their own expertise and skills in HPC, regarding the previous teaching approach.