Eduardo Quiñones, Sara Royuela, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Nogueira, Jan Rollo, Tommaso Cucinotta, Alessandro Biondi, Arne Hamann, Dirk Ziegenbein, Hadi Saoud, Romain Soulat, Björn Forsberg, Luca Benini, Gianluca Mando, Luigi Rucher. A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization.
Björn Forsberg. A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi.
Björn Forsberg, Maxim Mattheeuws, Andreas Kurth, Andrea Marongiu, Luca Benini. A Synergistic Approach to Predictable Compilation and Scheduling on Commodity Multi-Cores.
Simone Economo, Sara Royuela, Eduard Ayguadé, Vicenç Beltran. A Toolchain to Verify the Parallelization of OmpSs-2 Applications.
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.
Hamann, A., Saidi, S., Ginthoer, D., Wietfeld, C., Ziegenbein, D., & 2020 57th ACM/IEEE Design Automation Conference (DAC). (July 01, 2020). Building End-to-End IoT Applications with QoS Guarantees. 1-6.
Luca Abeni and Tommaso Cucinotta. 2020. EDF scheduling of real-time tasks on multiple cores: adaptive partitioning vs. global scheduling. SIGAPP Appl. Comput. Rev. 20, 2 (June 2020), 5–18. https://doi.org/10.1145/3412816.3412817
Tommaso Cucinotta. Model-based engineering of high-performance embedded applications on heterogeneous hardware with real-time and energy-efficiency constraints.
Chenle Yu, Sara Royuela Alcázar, and Eduardo Quiñones. OpenMP static TDG runtime implementation and its usage in Heterogeneous Computing.
Chenle Yu, Sara Royuela, Eduardo Quiñones. OpenMP to CUDA graphs: a compiler-based transformation to enhance the programmability of NVIDIA devices.