GNLS: a hybrid on-chip communication architecture for SoC designs
In this paper, we propose global network local bus (GNLS) communication architecture, where network interface is designed and DMA communication is given. We also study and compare the performance of bus-based and mesh-based with GNLS NoC-based infrastructure by theoretical analysis and simulation. It is shown that NoC-based infrastructure performs better than bus-based one in terms of latency when the number of flits contained in the packets exceeds certain threshold. In addition, GNLS-based infrastructure outperforms mesh-based one under the same condition, which verifies the correctness of the theoretical performance analysis. An example of design is given to show that the proposed architecture has better performance than bus, and Mesh based architecture.
We present a methodology based on grammatical inference algorithms applied to the linguistic modeling of biological regulation networks. The linguistic approach to the problem of regulation networks was proposed by COLLADOVIDES, who proved and formalized the need for use of context sensitive languages to represent such networks. The learning of context sensitive languages is a difficult task, our proposed methodology describes this class from language with a simpler nature that can be learned by already consolidated grammars inference algorithms. In addition to the proposed methodology, we suggest promising directions for this research.