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CAV
2009
Springer

Towards Performance Prediction of Compositional Models in Industrial GALS Designs

12 years 2 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip designers are facing extremely demanding performance prediction challenges, such as the need to estimate the latency of memory accesses over the NoC. This paper attacks this problem in the setting of designing globally asynchronous, locally synchronous systems (GALS). We describe foundations and applications of a combination of compositional modeling, model checking, and Markov process theory, to arrive at a viable approach to compute performance quantities directly on industrial, functionally verified GALS models.
Nicolas Coste, Holger Hermanns, Etienne Lantreibec
Added 19 May 2010
Updated 19 May 2010
Type Conference
Year 2009
Where CAV
Authors Nicolas Coste, Holger Hermanns, Etienne Lantreibecq, Wendelin Serwe
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