Eduardo Quinones Moreno

ASCENDER integrará las tecnologías más relevantes para permitir la aplicación de métodos de análisis de datos extremadamente grandes, en constante crecimiento, escasos, dispersos y heterogéneos. Para ello, el proyecto implementará una arquitectura software para el desarrollo, despliegue y ejecución eficiente de...

Data has become one of the most valuable assets, driving the digital transformation across many sectors. Current data mining solutions are optimized to deal with specific data requirements, but fail to cope as the data characteristics become extreme. There is therefore an urgent need for novel and holistic approaches to enable the development, deployment and efficient...

The main goal of Rising STARS is to enable a parallel programming framework for the development and execution of advanced large-scale Cyber Physical Systems (CPS) with High Performance Computing (HPC) and real-time requirements. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeingthat decisions made at...

Complex, dependable and physically-entangled systems of systems must be supported by innovations to allow for a significant reduction of the cost and complexity of system design targeting computing platforms composed of parallel heterogeneous architectures.

Software development is one key challenge, as current programming tools do not fully support...