Status Data and Communication Aspects in Dynamically Clustered Network‐on‐Chip Monitoring | Zendy

Ville Rantala | Zendy; Pasi Liljeberg | Zendy; Juha Plosila | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Status Data and Communication Aspects in Dynamically Clustered Network‐on‐Chip Monitoring

Author(s) -

Ville Rantala,

Pasi Liljeberg,

Juha Plosila

Publication year - 2012

Publication title -

journal of electrical and computer engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 25

eISSN - 2090-0155

pISSN - 2090-0147

DOI - 10.1155/2012/728191

Subject(s) - reliability (semiconductor) , computer science , network monitoring , implementation , network on a chip , embedded system , monitoring and control , routing (electronic design automation) , fault (geology) , fault detection and isolation , real time computing , telecommunications network , distributed computing , reliability engineering , engineering , computer network , control engineering , power (physics) , physics , quantum mechanics , artificial intelligence , seismology , actuator , programming language , geology

Monitoring and diagnostic systems are required in modern Network-on-Chip implementations to assure high performance and reliability.A dynamically clustered NoC monitoring structure for traffic and faultmonitoring is presented. It is a distributed monitoring approach whichdoes not require any centralized control. Essential issues concerningstatus data diffusion, processing, and format are simulated and analyzed. The monitor communication and placement are also discussed.The results show that the presented monitoring structure can be usedto improve the performance of an NoC. Even a small adjustment of parameters, for example, considering monitoring data format or monitoring placing, can have significant influence to the overall performanceof the NoC. The analysis shows that the monitoring system should becarefully designed in terms of data diffusion and routing and monitoring algorithms to obtain the potential performance improvement

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research