Implementing an affordable high-performance computing for teaching-oriented computer science curriculum

Abuzaghleh, Omar; Goldschmidt, Kathleen; Elleithy, Yasser; Lee, Jeong-Kyu

doi:10.1145/2414446.2414449

Cited by 10 publications

(7 citation statements)

References 17 publications

(5 reference statements)

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“…Several authors have addressed the logistical challenge of procuring an HPC platform for educational purposes by establishing low-cost such platforms [1]- [6] or by using virtualization and/or container technology [7]- [10]. Although these solutions offer compelling capabilities, such as exposing students to real-world software infrastructures, they impose limits on platform scale and/or may not be representative of production HPC platforms, especially in terms of performance behaviors.…”

Section: Related Workmentioning

confidence: 99%

“…For some institutions, it may be that no HPC platform is available whatsoever. In this case, one can resort to building lowcost HPC platforms for teaching purposes [1]- [6], to using virtualization and/or container technology to emulate an HPC platform, e.g., in cloud environments [7]- [10], or to gain access to public HPC testbeds. Although a lot can be achieved pedagogically on such platforms, they are not necessarily representative of production HPC platforms (in terms of capabilities, scale, and/or performance behaviors), which can be problematic for performance-oriented learning objectives.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation

Casanova¹,

Legrand²,

Quinson³

et al. 2018

2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)

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It is typical in High Performance Computing (HPC) courses to give students access to HPC platforms so that they can benefit from hands-on learning opportunities. Using such platforms, however, comes with logistical and pedagogical challenges. For instance, a logistical challenge is that access to representative platforms must be granted to students, which can be difficult for some institutions or course modalities; and a pedagogical challenge is that hands-on learning opportunities are constrained by the configurations of these platforms.A way to address these challenges is to instead simulate program executions on arbitrary HPC platform configurations. In this work we focus on simulation in the specific context of distributed-memory computing and MPI programming education. While using simulation in this context has been explored in previous works, our approach offers two crucial advantages. First, students write standard MPI programs and can both debug and analyze the performance of their programs in simulation mode. Second, large-scale executions can be simulated in short amounts of time on a single standard laptop computer. This is possible thanks to SMPI, an MPI simulator provided as part of SimGrid. After detailing the challenges involved when using HPC platforms for HPC education and providing background information about SMPI, we present SMPI Courseware. SMPI Courseware is a set of in-simulation assignments that can be incorporated into HPC courses to provide students with hands-on experience for distributed-memory computing and MPI programming learning objectives. We describe some these assignments, highlighting how simulation with SMPI enhances the student learning experience.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation

Casanova¹,

Legrand²,

Quinson³

et al. 2018

2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)

View full text Add to dashboard Cite

show abstract

“…It is shown that with the increasing of the total number of processor could shortened the computational time. The main control process happens in server node which has a job to deviding the number of process and scatter the grayscale colour value to 2,4,8,16, and 32 processors. Process node will execute the fft to those part of pixel data that sended from server node.…”

Section: Image Processing Testing and Analysismentioning

confidence: 99%

“…Other solutions, virtualized parallel resources on non parallel hardware are typically free or low cost, highly available and have good turnaround, but may have misleading performance characteristics due to limited physical parallelism. Therefore, cluster computing is the best alternative way to build a high performance computing platform with low cost to give HPC learning for students in university [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

An Embedded System for applying High Performance Computing in Educational Learning Activity

Rachmawan

Fahmi

Widodo

et al. 2016

emitter

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HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces. This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster. In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.

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“…This training has to face the limitations of the integration of technologies in teaching [44,47] and at the same time be included in the standard curriculum as a constraint related with Supercomputing [26]. Currently, the use of Supercomputers is becoming a key element in the improvement of certain disciplines of higher education, in spite of the lack of experience and basic skills in this field [1] and low availability of Supercomputing facilities due to the high costs [19].…”

Section: Introductionmentioning

confidence: 99%

Integrating supercomputing clusters into education: a case study in biotechnology

Fernández

Miguel-Dávila

et al. 2020

J Supercomput

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The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.

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Implementing an affordable high-performance computing for teaching-oriented computer science curriculum

Cited by 10 publications

References 17 publications

SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation

SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation

An Embedded System for applying High Performance Computing in Educational Learning Activity

Integrating supercomputing clusters into education: a case study in biotechnology

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