Low-Cost Field Equipment Design based on High-Performance Heterogeneous Architecture

Wilver Auccahuasi, Miryan Cosme, Julio Garcia-Rodriguez, Daniel Yucra-Sotomayor, Sandro Olaya-Cotera, Rosalynn Ornella Flores-Castaneda

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

At present, high performance equipment is gaining importance due to the computational capabilities it allows to develop, they are present in workstations as well as in personal computers. In field work it is important to analyze large volumes of data, as well as the use of applications that require high computational capacity, which the high performance solutions described above cannot be used, due to the need for energy, which in field work is not always available as energy sources are not always available. In the present work we describe a design of a low cost system to work in the field, based on Nvidia portable architecture, coupled with a parallel processing system based on Neuro Stick 2, for portability is coupled to the system a touch screen, a battery system to power the system and expansion units, as a result of the design we present the results of the operation of the system, The design can be applied and scaled, depending on the needs and works, taking into account that the Linux operating system and the programs to be used must be compatible.

Idioma originalInglés
Título de la publicación alojada2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1362-1367
Número de páginas6
ISBN (versión digital)9798331505745
DOI
EstadoPublicada - 2025
Evento2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Bangkok, Tailandia
Duración: 10 mar. 202512 mar. 2025

Serie de la publicación

Nombre2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025 - Proceedings

Conferencia

Conferencia2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025
País/TerritorioTailandia
CiudadBangkok
Período10/03/2512/03/25

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