PRESTO: high-PeRformancE Social-media crowdsensing acceleraTiOn
Welcome to PRESTO
This module is aimed at providing the underlying computing support for achieving real-time execution of our “Social Sensing as a Service” framework. As part of this goal, it is also necessary to provide efficient computing support for all the off-line processing tasks (e.g., DNN training) with the least amount of computing resources (e.g., memory capacity and processing elements) within the shortest possible time frame.
Research Team
José Luis Abellán Miguel
(Module Coordinator)
Universidad de Murcia
Baldomero Imbernón Tudela
Universidad Católica de Murcia
Antonio Llanes Castro
Universidad Católica de Murcia
Carlos Periñán-Pascual
Universitat Politècnica de València
Acknowledgement
PRESTO is part of the research project "Smart multi-modal crowdsensing-based system as a service oriented to the prediction of social problems (ALLEGRO)", grant PID2020-112827GB-I00 funded by MCIN/AEI/ 10.13039/501100011033.