AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
Type of publication
Poster presentation
Publisher
DATE
Year of publication
2020
Citation
Eduardo Quiñones, Sara Royuela, Arne Hamann, Dirk Ziegenbein, Björn Fosberg, Luca Benini, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Nogueira, Tomasso Cucinotta, Alessandro Biondi, Jan Rollo, Hadi Saoud, Romain Soulat, Gianluca Mando, Luigi Rucher. AMPERE: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation.
Abstract
Link to the publication