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;
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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I metadati presenti in IRIS UNICA sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono protetti da diritto d'autore, salvo diversa indicazione.
