Teaching Parallel Programming for Beginners in Computer Science
Teaching Parallel Programming for Beginners in Computer Science
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为计算机科学初学者教授并行编程
DOI：
10.1109/fie44824.2020.9274155
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
S. Bruschi
中科院分区：
文献类型：
--
作者：
Davi Jose Conte;P. L. D. Souza;Guilherme Martins;S. Bruschi
本研究全文介绍了我们的经验，在教学并行编程的学生没有以前的知识计算的基本概念，比较他们的学习水平。近年来，由于多核和众核设备的可用性不断增加，并行软件的使用大幅增长。硬件和软件资源的发展合作，并行程序提供了显着的计算处理能力。然而，并行编程通常在本科计算机课程的更高年级教授，因为它的先决条件是顺序编程，操作系统，计算机体系结构等。并行程序设计教学的滞后阻碍了学生将并行性应用于其他学科，降低了这些未来专业人员自然思考并行解决方案的概率。对252名学生进行了05个并行程序设计教学实验。我们分析了没有先决条件的学生是否可以学习并行编程在同一水平验证与学生先前的计算知识。我们使用了三种不同的教学方法：传统的，基于问题的学习（PBL），和基于团队的学习（TBL）。教学和学习评估考虑到这样的指标：学生的并行思维，使用编程模型，正确的程序输出，源代码的可读性和学生的满意度。该论文表明，可以向以前没有计算知识的学生教授并行编程，并获得高分和对此类学习的兴趣。我们的研究结果有助于传播并行编程，这是至关重要的提取性能，从现在的计算机。
This research full paper describes our experience in teaching parallel programming for students without previous knowledge of basic concepts of computing, comparing their levels of learning. The use of parallel software grew considerably in recent years due to the increasing availability of multi and many-core devices. The evolution of hardware and software resources collaborated for a remarkable computational processing power offered by parallel programs. However, parallel programming is taught usually in more advanced years of the undergraduate computer courses, due to its supposed prerequisites as sequential programming, operating systems, computer architectures and others. Postponing parallel programming teaching hinder students to apply parallelism other subjects, reducing the probability of these future professionals think on parallel solutions naturally. We executed 05 experiments teaching parallel programming subjects for 252 students. We analyzed whether students without prerequisites could learn parallel programming in the same level verified with students with prior computing knowledge. We used three different teaching methodologies: traditional, Problem Based Learning (PBL), and Team-Based Learning (TBL). The teaching and learning evaluation took into account such metrics: parallelism thinking of students, use of programming-model, correct output of the program, source-code readability and satisfaction of the students. The paper shows that it is possible to teach parallel programming to students without previous knowledge of computing, obtaining high scores and interest in such learning. Our results contribute positively to disseminate parallel programming, which is vital to extract performance from nowadays computers.
将并行计算集成到编程入门课程中：经验和教训
DOI：
10.1007/978-3-319-75178-8_18
发表时间：
2017
期刊：
Proceedings of the Euro-EDUPAR 2017 workshop of the 23rd International European Conference on Parallel and Distributed Computing
影响因子：
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作者：
Ghafoor, Sheikh K.
通讯作者：
Ghafoor, Sheikh K.