The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization

International Conferences 2020

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