AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation

AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation Website

Estat: Fi Start:

01/01/2020

End:

06/07/2023

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Main Investigators

EDUARDO QUINONES MORENO

ESTABLISHED RESEARCHER

Computer Sciences - Predictable Parallel Computing

eduardo [dot] quinones [at] bsc [dot] es

+34 934137172

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Predictable Parallel Computing

Probabilistic Real Time Systems

Time-predictable parallel programming models

Investigators