Demand of adaptive hard-constrained devices is continuing to increase. Developing efficient implementations of such systems means to address trade-offs among different specifications, i.e. real-time processing, low power consumption and partial context switching at runtime. In this PhD Plan, we will focus on the hardware perspective presenting how we intend to study and experience with adaptive co-processing architectures, considering software as a supporting element.
Adaptive software-augmented hardware reconfiguration with dataflow design automation / Rubattu, Claudio; Palumbo, Francesca; Pelcat, Maxime. - 2018-:(2018), pp. 1-4. (Intervento presentato al convegno 2017 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2017 tenutosi a mex nel 2017) [10.1109/RECONFIG.2017.8279772].
Adaptive software-augmented hardware reconfiguration with dataflow design automation
Rubattu, Claudio;Palumbo, Francesca;
2018-01-01
Abstract
Demand of adaptive hard-constrained devices is continuing to increase. Developing efficient implementations of such systems means to address trade-offs among different specifications, i.e. real-time processing, low power consumption and partial context switching at runtime. In this PhD Plan, we will focus on the hardware perspective presenting how we intend to study and experience with adaptive co-processing architectures, considering software as a supporting element.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
