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ORCID7th CARLA 2020: Cuenca, Ecuador
- Sergio Nesmachnow
, Harold Castro, Andrei Tchernykh:
High Performance Computing - 7th Latin American Conference, CARLA 2020, Cuenca, Ecuador, September 2-4, 2020, Revised Selected Papers. Communications in Computer and Information Science 1327, Springer 2021, ISBN 978-3-030-68034-3
High Performance Computing Applications
- José J. García-Aranda, Juan Ramos-Díaz, Sergio Molina-Cardín, Xavier Larriva-Novo, Andrés Bustos, Luis A. Galindo, Rafael Mayo-García:
Dynamically Distributing Tasks from an Unattended Parallel Compiler with Cloudbook. 3-17 - Sergio Augusto Gélvez Cortés, César A. Bernal, Carlos J. Barrios, Benjamín Hernández:
Fostering Remote Visualization: Experiences in Two Different HPC Sites. 18-33 - Miguel Da Silva, Sergio Nesmachnow, Santiago Iturriaga, Gabriel Usera:
High Performance Computing Simulations of Granular Media in Silos. 34-48 - Leonardo Rebouças de Carvalho, Marcelo Augusto da Cruz Motta, Aletéia Patrícia Favacho de Araújo:
Performance Analysis of Main Public Cloud Big Data Services Processing Brazilian Government Data. 49-61 - Matheus W. Camargo, Matheus S. Serpa, Danilo Carastan-Santos, Alexandre Carissimi, Philippe O. A. Navaux:
Accelerating Machine Learning Algorithms with TensorFlow Using Thread Mapping Policies. 62-70 - Luis Alejandro Torres, Carlos J. Barrios:
Methodology for Design and Implementation an Efficient HPC Cluster. 71-85 - Juan H. L. Fabian, Antônio Tadeu A. Gomes, Eduardo S. Ogasawara:
Estimating the Execution Time of the Coupled Stage in Multiscale Numerical Simulations. 86-100
High Performance Computing and Artificial Intelligence
- Claudia Álvarez-Aparicio, Jonatan Ginés, Miguel Ángel González Santamarta, Francisco Martín Rico, Ángel Manuel Guerrero-Higueras, Francisco J. Rodríguez-Lera, Vicente Matellán Olivera:
Using HPC as a Competitive Advantage in an International Robotics Challenge. 103-114 - Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko:
A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. 115-129 - Santiago Behak, Giovani Rondán, Martín Zanetti, Santiago Iturriaga, Sergio Nesmachnow:
Distributed Greedy Approach for Autonomous Surveillance Using Unmanned Aerial Vehicles. 130-145 - Rodrigo Porteiro, Sergio Nesmachnow:
Electricity Demand Forecasting Using Computational Intelligence and High Performance Computing. 146-161 - Jamal Toutouh, Mathias Esteban, Sergio Nesmachnow:
Parallel/Distributed Generative Adversarial Neural Networks for Data Augmentation of COVID-19 Training Images. 162-177 - Félix Armando Mejía Cajicá, John Anderson García Henao, Carlos Jaime Barrios Hernández, Michel Riveill:
Analysis of Regularization in Deep Learning Models on Testbed Architectures. 178-192 - Alejandro Reátegui Pezo, Isaac Ocampo Yahuarcani, Angela Milagros Nuñez Satalaya, Lelis Antony Saravia Llaja, Carlos Alberto García Cortegano, Astrid Fariza Panduro Ahuanari:
Computer Application for the Detection of Skin Diseases in Photographic Images Using Convolutional Neural Networks. 193-204 - Paola A. Buitrago, Nicholas A. Nystrom:
Neocortex and Bridges-2: A High Performance AI+HPC Ecosystem for Science, Discovery, and Societal Good. 205-219
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