Energy-aware High Performance Multi-objective Optimization in Heterogeneous Computer Architectures. Applications on Biomedical (e-hpMOBE)
Problems that appear in applications of social interest on neuroengineering and rehabilitation technologies are tackled in this Project by using parallel high-performance architectures and multi-objective optimization and clustering methods.
These approaches could make possible to obtain embedded implementations that satisfy the requirements for speed, power consumption, portability, etc. in the corresponding application-specific devices.