Using a shared, remote cluster for teaching HPC

Carley, Clay; Sells, Larry; McKinney, Brett A.; Zhao, Chao; Neeman, Henry

doi:10.1109/cluster.2013.6702630

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…The setup of a cluster infrastructure is required in order to solve such issues. For instance [1], [5] and [11] present an infrastructure focused on solving this requirement. But, as said in [11], such a cluster is necessarily defined by the users requirements, as defining it without demand, could be an expensive way of planning.…”

Section: Introductionmentioning

confidence: 99%

Infraestructura de HPC del Colaboratorio Nacional de Computación Avanzada, Kabré

Gómez-Sánchez

Umaña-Jiménez

Arce-Montero

2020

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Kabré supercomputer is a High Performance Computing (HPC) cluster that provides tools that are needed to execute specific projects. In this paper, we present the infrastructure of such supercomputer settled at Advanced Computing National Collaboratory (CNCA), how its structure is defined by user needs and some recommendations in order to enhance the use and development of an HPC cluster infrastructure for scientific research purposes. Palabras claveCluster; computación de alto rendimiento; computación paralela. ResumenLa supercomputadora Kabré es un clúster de computación de alto rendimiento (HPC) que proporciona las herramientas necesarias para ejecutar proyectos específicos. En este documento, presentamos la infraestructura de dicha supercomputadora establecida en Colaboratorio Nacional de Computación Avanzada (CNCA), cómo se define su estructura según las necesidades del usuario y algunas recomendaciones para mejorar el uso y el desarrollo de una infraestructura de clúster HPC para fines de investigación científica.

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Section: Introductionmentioning

confidence: 99%

Infraestructura de HPC del Colaboratorio Nacional de Computación Avanzada, Kabré

Gómez-Sánchez

Umaña-Jiménez

Arce-Montero

2020

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“…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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“…OU has extensive experience providing education, outreach and training to a broad variety of audiences [17][18][19][20][21][22][23], so development of the Oklahoma PetaStore training has fit straightforwardly into extant structures. Because of both obvious and subtle operational differences between the PetaStore and typical filesystems, and the risk that particular styles of use can detrimentally affect system performance and resiliency, one-on-one or one-on-few PetaStore training is required before access to the PetaStore is granted.…”

Section: Trainingmentioning

confidence: 99%

Large scale research data archiving: Training for an inconvenient technology

Calhoun

Akin

Zimmerman

et al. 2019

Journal of Computational Science

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a b s t r a c tAt small scales, storage is straightforward to afford and to use, but at large scales -from several Terabytes (TB) to many Petabytes (PB) and soon Exabytes (EB) -tradeoffs must be made between cost and convenience, and training for use of such resources needs to take such inconveniences into account. A large scale, long term (over 10 year) institutional research data storage archive is described, focusing on both hardware and software. The technology choices give rise to inconveniences, which in turn not only lead to a crucial requirement for training on the proper use of the archive, but also inform the specifics of that training, as does each individual use case.

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Using a shared, remote cluster for teaching HPC

Cited by 6 publications

References 11 publications

Infraestructura de HPC del Colaboratorio Nacional de Computación Avanzada, Kabré

Infraestructura de HPC del Colaboratorio Nacional de Computación Avanzada, Kabré

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

Large scale research data archiving: Training for an inconvenient technology

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