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29th IEEE International Conference on High Performance computing, Data and Analytics (HiPC)

作者： Bayyapu, Neelima Manipal Acad Higher Educ MAHE Manipal Inst Technol MIT Dept Comp Sci & Engn Manipal 576104 Karnataka India

ISBN: (纸本)9798350333886

Outcome-based education is being adapted in most of the engineering colleges across India. This process is being accredited by a national body called National Board of Accreditation (NBA) in India. This accreditation process involves a continuous process of defining Program Outcomes (POs) and course Outcomes (COs) and these are evaluated to check the OBE outcome level. This course evaluation includes course content, evaluation methods used for students' evaluation, pedagogy of teaching, Bloom's taxonomy mapping of learning levels, feedback from stakeholders and results and outcome analysis. If the required level is not attained, the COs and POs are reviewed and accordingly curriculum is revised. There are a lot of challenges being faced by faculty in this process of creating and assessing the curriculum as per NBA standards. These challenges are unique and non-trivial for PDC/HPC (parallel and Distributed computing/High-Performance computing) courses. The preparation of OBE-based PDC/HPC course involves a lot of stakeholders and brainstorming over multiple sessions. Many universities are adopting PDC/HPC courses more recently across the world. With an intention to create a pointer for developing, delivering and reviewing a PDC/HPC course, this paper presents the course development process for the benefit of various stakeholders and specially PDC/HPC educators and institutions. This research paper presents the undergraduate teaching experience of parallel computing (PC) course with a critical evaluation based on course Outcomes (COs) and Bloom's taxonomy mapping of learning levels. This paper compiles a list of challenges faced by PDC/HPC educators and stakeholders focusing on the Indian education scenario. It lists the activities and the suggestions that can be applied to address these challenges suitably. The research and teaching experience-based discussions and strategies proposed in this paper help other PDC/HPC educators and stakeholders in the CS (Computer Sci

关键词： Undergraduate Education parallel and Distributed computing (PDC) Education High-Performance computing (HPC) Education Computer Science Community Indian Education Bloom's Taxonomy Learning Levels course Outcomes parallel computing course

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Lightweight job submission and file sharing schemes for a teaching ecosystem for parallel computing courses

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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED computing 2020年第1期15卷 111-111页

作者： Xiong, Zhi Xu, Kai Shantou Univ Dept Comp Sci & Technol Shantou Guangdong Peoples R China Shantou Univ Minist Educ Key Lab Intelligent Mfg Technol Shantou Guangdong Peoples R China

parallel computing has been widely used in various industries. Many colleges and universities have launched courses on parallel computing and can build teaching ecosystems to serve these courses. Job submission and file sharing are two essential functionalities. This paper builds a teaching ecosystem for parallel computing courses and proposes lightweight job submission and file sharing schemes for the ecosystem. The job submission scheme supports Pthread, OpenMP, and MPI (message passing interface) jobs. It has five working modes: demonstration, experiment, examination, research, and maintenance. In particular, the examination mode can be applied for online examinations. For the fair use of resources, the job submission scheme not only limits the submission times of each student and the run time of each job but also designs a fair job scheduling algorithm. The ecosystem adopts Samba to supply file sharing services. To ensure the safety of the shared files, this paper proposes a lightweight attribute-based access control mechanism. This mechanism uses Python logical expressions to describe access rules;thus, it is not only easy to use but also able to describe complicated rules. In addition, the ecosystem has a well-structured module design that facilitates functionality expansion and modification. Experiments verify the feasibility and validity of the ecosystem.

关键词： Teaching ecosystem parallel computing course Job submission File sharing Lightweight

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