CORDIS Project
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The project aims to develop innovative many-core computing architectures designed for high-performance parallel processing of large data sets. It focuses on creating energy-efficient systems that adapt to variability in processing conditions, enhancing performance for applications like machine learning and virtual mode…
Many of the future applications that will drive the need for greater performance are naturally highly parallel and process massive data sets, where individual point results are of less interest than aggregate statistics or behavior.
Examples include statistical machine learning, rich human-machine interfaces, and physical modeling for games and virtual worlds.
In this project, the goal is to develop new highly parallel many-core architectures that exploit the attributes of these parallel, error-…
UNIVERSIDAD POLITECNICA DE MADRID
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