Fast Estimations of Failure Probability Over Long Time Spans
Date
2018Author
Noltsis, MichailEnglezakis, Panayiotis
Maragkoudaki, Eleni
Nicopoulos, Chrysostomos
Rodopoulos, Dimitrios
Catthoor, Francky
Sazeides, Yiannakis
Zoni, Davide
Soudris, Dimitrios
ISBN
978-1-4503-5815-6Publisher
Association for Computing MachineryPlace of publication
Athens, GreeceSource
Proceedings of the 14th IEEE/ACM International Symposium on Nanoscale ArchitecturesGoogle Scholar check
Metadata
Show full item recordAbstract
Shrinking of device dimensions has undoubtedly enabled the very large scale integration of transistors on electronic chips. However, it has also brought to surface time-zero and time-dependent variation phenomena that degrade system's performance and threaten functional operation. Hence, the need to capture and describe these mechanisms, as well as effectively model their impact is crucial. To this extent, we follow existing models and propose a complete framework that evaluates failure probability of electronic components. To assess our framework, a case-study of packet-switched Network on Chip (NoC) routers is presented, studying the failure probability of its SRAM buffers.