Teaching High-Performance Computing in Developing Countries: A Case Study in Mexican Universities
36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022
; : 338-345, 2022.
Article
in English
| Scopus | ID: covidwho-2018898
ABSTRACT
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. © 2022 IEEE.
High-Performance Computing; parallel computing; undergraduate program curricula; Developing countries; Students; Teaching; Case-studies; Computer engineering program; Engineering resistance; Me-xico; Parallel com- puting; Performance computing; Resistance to change; Undergraduate program curriculum; Undergraduate projects; Curricula
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Case report
Country/Region as subject:
Mexico
Language:
English
Journal:
36th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS