The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization
URL: https://upcommons.upc.edu/handle/2117/191574
Authors: Quiñones, Eduardo / Royuela, Sara / Scordino, Claudio / Gai, Paolo / Pinho, Luís / Nogueira, Luís / Rollo, Jan / Cucinotta, Tommaso / Biondi, Alessandro / Hamann, Arne / Ziegenbein, Dirk / Saoud, Hadi / Soulat, Romain / Forsberg, Björn / Benini, Luca / Mandò, Gianluca / Rucher, Luigi
Research Lines: Predictable Parallel Computing
Publication: 3rd International Symposium on Real-Time Distributed Computing (ISORC)
Place Published: IEEE
Pagination: 201-206