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Título
Exploratory study of introducing HPC to non-ICT researchers: institutional strategy is possibly needed for widespread adaption
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
The Journal of Supercomputing
Número de la revista
5
Datos de la obra
Ferdinandy, B., Guerrero-Higueras, Á. M., Verderber, É., Rodríguez-Lera, F. J., & Miklósi, Á. (2021). Exploratory study of introducing HPC to non-ICT researchers: institutional strategy is possibly needed for widespread adaption. Journal of Supercomputing, 77(5), 4317-4331. https://doi.org/10.1007/S11227-020-03438-0
Editor
Springer
Fecha
2020-09-28
ISSN
0920-8542
Abstract
[EN] Machine learning algorithms are becoming more and more useful in many felds
of science, including many areas where computational methods are rarely used.
High-performance Computing (HPC) is the most powerful solution to get the best
results using these algorithms. HPC requires various skills to use. Acquiring this
knowledge might be intimidating and take a long time for a researcher with small
or no background in information and communications technologies (ICTs), even if
the benefts of such knowledge is evident for the researcher. In this work, we aim to
assess how a specifc method of introducing HPC to such researchers enables them
to start using HPC. We gave talks to two groups of non-ICT researchers that introduced basic concepts focusing on the necessary practical steps needed to use HPC
on a specifc cluster. We also ofered hands-on trainings for one of the groups which
aimed to guide participants through the frst steps of using HPC. Participants flled
out questionnaires partly based on Kirkpatrick’s training evaluation model before
and after the talk, and after the hands-on training. We found that the talk increased
participants’ self-reported likelihood of using HPC in their future research, but this
was not signifcant for the group where participation was voluntary. On the contrary,
very few researchers participated in the hands-on training, and for these participants
neither the talk, nor the hands-on training changed their self-reported likelihood of
using HPC in their future research. We argue that our fndings show that academia
and researchers would beneft from an environment that not only expects researchers
to train themselves, but provides structural support for acquiring new skills.
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