In this paper we present a floorplan-aware toolchain for NoC design and synthesis integrated with a graphical front-end. The resulting design methodology is highly automated yet entails rich interaction with the user, spanning across traffic flow specification, topology synthesis and physical floorplanning, with back-annotation capabilities and opportunities for incremental design. We exploit the proposed tool to implement some NoC-based case studies. We show that not only a great amount of time and effort can be saved thanks to the easy-to-use proposed environment, but also that the quality of the final netlist improves due to the optimizations unlocked by the early-stage interaction among the designer and the proposed toolchain.
While lithographic advances have made it possible to manufacture chips with ever smaller features (Moore's Law), the cost of the required machinery has been steadily increasing, and speculation is that finer geometries will become, if not technically infeasible, impractically expensive. At the same time, the "More than Moore" paradigm [1] has been advocating the creation of chip value through the integration of functionality beyond standard digital CMOS, for example sensing, radiofrequency, optoelectronics. These two trends meet in "3D" chip integration, whereby multiple dies, independently manufactured in possibly very heterogeneous technologies, are stacked together to provide a large amount of functionality in a small package footprint.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.