Teaching High-Performance Computing on a High-Performance Cluster

Bernreuther, Martin; Brenk, Markus; Bungartz, Hans‐Joachim; Mundani, Ralf-Peter; Muntean, Ioan Lucian

doi:10.1007/11428848_1

Cited by 10 publications

(3 citation statements)

References 1 publication

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“…Novel analysis tools designed with parallelism and scalability in mind will have a significant impact on how contemporary research is being conducted. To facilitate these needs, there is a desire in the educational community to help develop students problems [1].…”

Section: Introductionmentioning

confidence: 99%

StarHPC — Teaching parallel programming within elastic compute cloud

Ceraj

Riley

Shubert

2009

Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces

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The advancement of computer technology and the increasing complexity of research problems are creating the need to teach parallel programming in higher education more effectively. In this paper we present StarHPC, a system solution that supports teaching parallel programming in courses at the Massachusetts Institute of Techology. StarHPC prepackages a virtual machine image used by students, the scripts used by an administrator, and a virtual image of the Amazon Elastic Computing Cloud (EC2) machine used to build the cluster shared by the class. This architecture coupled with the no-cost availability of StarHPC allows it to be deployed at other institutions interested in teaching parallel programming with a dedicated compute cluster without incurring large upfront or ongoing costs.

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Section: Introductionmentioning

confidence: 99%

StarHPC — Teaching parallel programming within elastic compute cloud

Ceraj

Riley

Shubert

2009

Proceedings of the ITI 2009 31st International Conference on Information Technology Interfaces

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“…The students are learning the concept of coarse grain parallelism easily by using clusters [5]. There are also several studies in literature for teaching parallel computing to both undergraduate and graduate students [6][7][8][9].…”

Section: Computational Sciences Education For High-school Studentsmentioning

confidence: 99%

Computational Sciences Learning Project for Pre-university Students

İnceoğlu

Aslan

2007

Computational Science – ICCS 2007

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Abstract. It is quite useful for high school students to study on computational sciences, especially for those who are planning to have a higher education in engineering. This paper proposes a pilot study on 9 th and 10 th grade students for teaching them the basic aspects of computer sciences. This study focuses on a schedule consisting two consecutive courses -first one theoric and the second one is applied -for student volunteers from science high schools.

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“…In the article, "Teaching High-Performance Computing on a High-Performance Cluster", authors present their experiences of how a state of the art midsize Linux cluster, bought and operated on a department level primarily for education and algorithm development purposes, can be used for teaching a large variety of HPC aspects such as basics of parallel algorithms, classical tuning, or hardware aware programming. Special focus is put on the effects of such an approach on the intensity and sustainability of learning [7].…”

Section: Introductionmentioning

confidence: 99%

Setting Up and Implementation of the Parallel Computing Cluster in Higher Education

Serik

Karelkhan

Kultan

et al. 2019

Int. J. Emerg. Technol. Learn.

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In this article, we describe in detail the setting up and implementation of the parallel computing cluster for education in the Matlab environment and how we solved the problems arising on this way. We also describe the comparative analysis of parallel computing cluster by the example of matrix multiplication by a vector with large dimensions. First calculations were performed on one computer, and then on a parallel computing cluster. In the experiment, we proved the effectiveness of parallel computing and the necessity of the setting up of the parallel computing cluster. We hope that the creation of a parallel computing cluster for education will help in teaching the subject of parallel computing at higher schools that do not have sufficient hardware resources. This paper presents unique setting up and implementation of the parallel computing cluster for teaching and learning of the parallel computing course and a wide variety of information sources from which instructors can choose.

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Teaching High-Performance Computing on a High-Performance Cluster

Cited by 10 publications

References 1 publication

StarHPC — Teaching parallel programming within elastic compute cloud

StarHPC — Teaching parallel programming within elastic compute cloud

Computational Sciences Learning Project for Pre-university Students

Setting Up and Implementation of the Parallel Computing Cluster in Higher Education

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