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Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
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2 Papers

Deployment Service for Scalable Distributed Deep Learning Training on Multiple Clouds

Topics: Cloud Application Architectures; Cloud Application Scalability and Availability; Cloud Services; Multi-Cloud Solutions Enablement

Authors: Javier Jorge 1 , Germán Moltó 1 , Damian Segrelles 1 , João Pedro Fontes 2 and Miguel Angel Guevara 2

Affiliations: 1 Instituto de Instrumentación para Imagen Molecular (I3M), Centro Mixto CSIC, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain , 2 Computer Graphics Center, University of Minho, Campus de Azurém, Guimarães, Portugal

Digital Object Identifier: 10.5220/0010359601350142

Proceedings of CLOSER 2021, ISBN: 978-989-758-510-4

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This paper introduces a platform based on open-source tools to automatically deploy and provision a distributed set of nodes that conduct the training of a deep learning model. To this end, the deep learning framework TensorFlow will be used, as well as the Infrastructure Manager service to deploy complex infrastructures programmatically. The provisioned infrastructure addresses: data handling, model training using these data, and the persistence of the trained model. For this purpose, public Cloud platforms such as Amazon Web Services (AWS) and General-Purpose Computing on Graphics Processing Units (GPGPU) are employed to dynamically and efficiently perform the workflow of tasks related to training deep learning models. This approach has been applied to real-world use cases to compare local training versus distributed training on the Cloud. The results indicate that the dynamic provisioning of GPU-enabled distributed virtual clusters in the Cloud introduces great flexibility to cost-effectively train deep learning models.

EVALUATING AN E-LEARNING EXPERIENCE ORIENTED TOWARDS ACCESSIBLE INSTRUCTION

Topics: Accessibility to Disabled Users; e-Learning Platforms, Portals

Authors: Félix Buendía , Alberto González-Téllez , José Vte. Benlloch-Dualde , Germán Moltó , Natividad Prieto , M. J. Castro-Bleda and Juan V. Oltra

Affiliation: Universitat Politècnica de València, Spain

Digital Object Identifier: 10.5220/0003910003810386

Proceedings of CSEDU 2012, ISBN: 978-989-8565-07-5

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e-Learning is becoming an essential tool in the field of accessible instruction. This work describes the evaluation of an experience implemented at the Universitat Politècnica de València that addressed the adaptation of its e-learning platform to make accessible its contents and resources. Such experience has been developed in the context of the EU4ALL project which provided a general framework to cope with the needs of accessible lifelong learning at a Higher Education level. The first part of the experience consisted in developing specific components in Sakai, an open-source Learning Management System that is used at UPV as the institutional e-learning platform under the name of PoliformaT. The second part dealt with the evaluation of the developed Sakai version for a set of disabled students who registered in different Engineering and Business courses at UPV and lecturers who contributed to adapt the required learning resources. The results of the evaluation showed, on the one hand, the interest of students about the availability of alternative accessible resources but, on the other hand, the point of view of lecturers who were in charge of developing such resources and manifested the difficulty and effort to generate them.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Accessibility to Disabled Users

e-Learning Platforms

Simulation Tools and Platforms

Computer-Supported Education

Simulation and Modeling

Ubiquitous Learning
e-Learning

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