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Reseach Article

A Learning Approach to Introducing GPU Computing in Undergraduate Engineering Program

by Chaker El Amrani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 20
Year of Publication: 2014
Authors: Chaker El Amrani

Chaker El Amrani . A Learning Approach to Introducing GPU Computing in Undergraduate Engineering Program. International Journal of Computer Applications. 107, 20 ( December 2014), 28-30. DOI=10.5120/18870-0460

@article{ 10.5120/18870-0460,
author = { Chaker El Amrani },
title = { A Learning Approach to Introducing GPU Computing in Undergraduate Engineering Program },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 20 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-30 },
numpages = {9},
url = { },
doi = { 10.5120/18870-0460 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:41:36.660774+05:30
%A Chaker El Amrani
%T A Learning Approach to Introducing GPU Computing in Undergraduate Engineering Program
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 20
%P 28-30
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

The graphics processing unit (GPU) learning initiative is developed within a project awarded by the Moroccan Fulbright Alumni Association (MFAA), entitled "GPU Acceleration of Human Genome Sequencing". This project involves undergraduate students at Abdelmalek Essaadi University, and is conducted in collaboration with the High Performance Computing Lab (HPCL) at the George Washington University in U. S. The study brings together two of the most important topics and challenges for the medical field, Genomics, and information technology, parallel computing specially with Graphical Processing Units. The potential outcomes from the project will make very valuable contributions to medical and information technology research and will enrich the academic experience of the students.

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Index Terms

Computer Science
Information Sciences


High Performance Computing GPU CUDA programming learning-by-doing sequences alignment algorithms bioinformatics.