2017
DOI: 10.1016/j.jpdc.2017.01.015
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Learning by doing, High Performance Computing education in the MOOC era

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Cited by 43 publications
(24 citation statements)
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“…high throughput, MapReduce, Leader-Worker and full MPI based parallel applications. Once students understand where their applications fit in a set of canonical workflows, they can focus on techniques to effectively refactor or extend their application to make it suitable for an HPC system [12,13].…”
Section: Understanding Hpc Workflows and How To Exploit Them 41 Designmentioning
confidence: 99%
“…high throughput, MapReduce, Leader-Worker and full MPI based parallel applications. Once students understand where their applications fit in a set of canonical workflows, they can focus on techniques to effectively refactor or extend their application to make it suitable for an HPC system [12,13].…”
Section: Understanding Hpc Workflows and How To Exploit Them 41 Designmentioning
confidence: 99%
“…The rapid evolution of MOOCs in recent years has produced a change in the education of students and in the development of professional skills (Alcarria, Bordel, Andrés & Robles, 2018). Some researchers detail the design of a unique self-paced online course that incorporates a focus on parallel solutions, personalization, and hands-on practice to familiarize student-users with their target system (Mullen et al, 2017).…”
Section: The Status Quo Of the Mooc In The Application Of Media Educamentioning
confidence: 99%
“…The first aspect concerns the use of various HCI options to create personalised learning paths (e.g., Mullen et al, 2017). This can be achieved by customising or tailoring the online content and experience of materials to the type of student enrolled on the programme.…”
Section: Student Profiles: Skills and Tool Usementioning
confidence: 99%