Grid Computing: Main Tools Identified in Scientific Research

Resume

This work is cataloged in the Scientific Portal. Officially published in 2023 18th Iberian Conference on Information Systems and Technologies (CISTI) (2023). Referenced as: "Damasceno, Ernani; Azevedo, Ana; Perez-Cota, Manuel. Corresponding author: Damasceno, Ernani".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.23919/CISTI58278.2023.10211778

Keywords

Grid Computing Tools Frameworks Platforms Literature Review High-Performance Computing Distributed and Heterogeneous Systems

Bibliographic & Editorial Details

Venue / Journal / Book 2023 18th Iberian Conference on Information Systems and Technologies (CISTI)

Publisher IEEE

Pagination Pages 1 - 6

Publication Venue / Conference Portugal

Role Coauthor

Official Identifiers

DOI: 10.23919/CISTI58278.2023.10211778

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

A

Ana Isabel Rojão Lourenço Azevedo CEOS.PP

Ciência ID: D913-646F-CE08

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E

Ernani Vinicius Damasceno Investigador

Ciência ID: 6811-6996-747B

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Coautores da Obra

Autores discriminados na citação da publicação:

Damasceno, Ernani; Azevedo, Ana; Perez-Cota, Manuel. Corresponding author: Damasceno, Ernani

Clique no botão acima para consultar a API da FCT e descobrir os perfis Ciência ID dos coautores.

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Grid Computing: Main Tools Identified in Scientific Research 🔓

Resume

Keywords

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Grid Computing: Main Tools Identified in Scientific Research 🔓

Resume

Keywords

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Other Related Publications

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SiSchool: A QR-Based Mobile Device Control System for Educational Environments

From predicting dropout rates to responsible intervention: explainable machine learning for academic success in higher education

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