Teaching High-Performance Computing in Developing Countries: A Case Study in Mexican Universities

Teaching High-Performance Computing in Developing Countries: A Case Study in Mexican Universities
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在发展中国家教授高性能计算:墨西哥大学案例研究

DOI:
10.1109/ipdpsw55747.2022.00066
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发表时间:
2022
期刊:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
影响因子:
--
通讯作者:
J. Pacheco
J. Pacheco
中科院分区:
--
文献类型:
--
作者:
J. Trejo;F. Hernández;Miguel Ángel Uh Zapata;J. López;Daniel Fajardo;J. Pacheco

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在墨西哥等发展中国家的大多数大学中,向本科课程教授高性能计算(HPC)是一项重大挑战。所需的基础设施和设备的不足,计算机工程课程的不足(以及对改变它们的抵制),学生缺乏兴趣,动机或对这一领域的知识是需要克服的主要困难。COVID-19大流行对这些项目中教授HPC的困难提出了额外的挑战。尽管有这些规定,但已经制定了一些战略,将HPC的概念纳入墨西哥学生,而不必修改传统的课程。本文提出了一个案例研究,在墨西哥的四所公立大学的基础上,我们的经验,作为指导员。我们还提出了一个课程,介绍HPC的原则,考虑到学生在这样的大学的异质背景。调查结果是关于参加相关课程和参加课外项目的学生人数。
Teaching High-Performance Computing (HPC) to undergraduate programs represents a significant challenge in most universities in developing countries like Mexico. Deficien-cies in the required infrastructure and equipment, inadequate curricula in computer engineering programs (and resistance to change them), students' lack of interest, motivation, or knowledge of this area are the main difficulties to overcome. The COVID-19 pandemic represents an additional challenge to these difficulties in teaching HPC in these programs. Despite the detriments, some strategies have been developed to incorporate the HPC concepts to Mexican students without necessarily modifying the traditional curricula. This paper presents a case study over four public universities in Mexico based on our experience as instructors. We also propose a course that introduces the HPC principles considering the heterogeneous background of the students in such universities. The results are about the number of students enrolling in related classes and participating in extra-curricular projects.