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http://documenta.ciemat.es/handle/123456789/1597
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| Título : | Dynamically Distributing Tasks from an Unattended Parallel Compiler with Cloudbook |
| Autor : | García-Aranda, J.J.
Mayo-García et al., R. |
| Palabras clave : | Parallel computing
Automatization
Compiler |
| Fecha de publicación : | 2021 |
| Editorial : | IEEE |
| Citación : | García-Aranda, J.J. et al. (2021). Dynamically Distributing Tasks from an Unattended Parallel Compiler with Cloudbook. In: Nesmachnow, S., Castro, H., Tchernykh, A. (eds) High Performance Computing. CARLA 2020. Communications in Computer and Information Science, vol 1327. Springer, Cham. |
| Resumen : | A dynamic version of Cloudbook is presented in this work, a new tool for automatically and unattendedly parallelizing codes which also lately distributes the tasks dynamically. Cloudbook is designed for Python codes and, above all, makes the parallelization in a way in which the number and main characteristics of the available infrastructure is taken into account for optimizing the execution (performance, bandwidth connection, etc.) in a dynamic way. Cloudbook is designed to allow developers to get the technical benefits of automated distribution and parallelization of programs with a very low learning cost. It only requires labelling the original code with a reduced set of pragmas located at function headers. Results of the tests carried out with Cloudbook with several codes on a real infrastructure are presented as well. |
| URI : | http://documenta.ciemat.es/handle/123456789/1597 |
| Aparece en las colecciones: | Comunicaciones, congresos de Tecnología
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