Resumen

ORELLANA GARCIA, Arturo; SUAREZ MORALES, Michel  y  PEREZ LOPEZ, Brian. Tool for managing neuroscience data processing queues in HPC. RCCI [online]. 2023, vol.17, n.4  Epub 01-Dic-2023. ISSN 2227-1899.

In the field of neuroscience, increasing volumes of information associated with neurological research are generated, which can be processed thanks to the evolution of computational infrastructures and new technologies, and through the use of High-Performance Computing. This is done through the use of commands in a secure terminal (SSH) and requires technical knowledge that specialists in this field do not have, which causes human errors when executing processing tasks. The objective was to present a tool for the management of neuroscience data processing queues in an HPC. A documentary analysis of different background research was carried out to identify the best variants to take into account for the proposed solution. Python, FastAPI, Javascript, Vue.js and WebSocket were defined as the development environment; PyCharm Community was also used as the development tool. A tool was obtained that improves the usability of the task launching process in a cluster, increasing productivity and reducing errors caused by the human factor. The management of neuroscience data processing queues, based on interfaces and flow automation, reduces human error in the launching of tasks in the HPC server.

Palabras clave : cluster; infrastructure; neuroscience; processing.

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