Teaching Experience and Syllabus on High Performance Computing

DOI

10.2991/icmmct-17.2017.25How to use a DOI?

Keywords

Higher Education, Computer Science and Technology, High Performance Computing, Parallel Computing, Syllabus, Teaching Experience, Curriculum Content and Hours

Abstract

Due to the lag of the curriculum systems and the difficulties in parallel programming, there are few national universities to provide high performance computing (HPC) or parallel computing courses for undergraduate students. With the arrival of the era of research with big data, many universities have set up their own HPC laboratory, the conditions of teaching HPC related curriculums for undergraduate students are ready. In order to train professional talents who can apply and use HPC clusters, we design a HPC course system for computer science and technology majors and graduate students. A set of HPC courses for non-computer majors is also proposed. The proposed HPC curriculum content and the number of hours are the result of teaching and experiment by ourselves.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hong He
AU  - Shengzhong Yuan
PY  - 2017/04
DA  - 2017/04
TI  - Teaching Experience and Syllabus on High Performance Computing
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 120
EP  - 124
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.25
DO  - 10.2991/icmmct-17.2017.25
ID  - He2017/04
ER  -