Tesi etd-03272017-104753 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
ANTONANTE, PASQUALE
URN
etd-03272017-104753
Titolo
Multi-core Code generation for mixed-criticality embedded systems
Dipartimento
INGEGNERIA DELL'INFORMAZIONE
Corso di studi
EMBEDDED COMPUTING SYSTEMS
Relatori
relatore Prof. Di Natale, Marco
correlatore Prof. Buttazzo, Giorgio C.
correlatore Prof. Buttazzo, Giorgio C.
Parole chiave
- Code Generation
- Embedded Systems
- Mixed-Criticality
- Multi-core
Data inizio appello
05/05/2017
Consultabilità
Completa
Riassunto
In real-time and safety-critical systems, the move towards multi-cores is becoming unavoidable to satisfy the increasing processing requirements while maintaining a reasonable power consumption. A common trend in real-time safety-critical embedded systems is to integrate multiple applications on a single platform. Such systems are known as mixed-criticality systems as the applications are usually characterized by different criticality levels. However, multi-core systems are mainly designed to increase average performance, whereas embedded systems, and in particular mixed-criticality system, have additional requirements on safety, reliability and real-time behavior. Therefore, the shift to multi-cores raises several challenges. These architectures are challenging for safety-critical applications because they are in general not predictable. The difficulties increase when the multi-core hosts several applications and in particular mixed-critical applications.
\par Mixed-criticality embedded systems are gaining considerable interest, but there is a lack of model-based tools for their development. This thesis proposes a model-based approach to handling the design complexity with the support of optimization techniques and code generation methods.
\par Mixed-criticality embedded systems are gaining considerable interest, but there is a lack of model-based tools for their development. This thesis proposes a model-based approach to handling the design complexity with the support of optimization techniques and code generation methods.
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