With the increase in the number of cores embedded on a chip; The main challenge for Multiprocessor Systemon-Chip (MPSoC) platforms is the interconnection between that massive number of cores. Networks-on-Chip (NoC) was introduced to solve that challenge, by providing a scalable and modular solution for communication between the cores. In this paper, we introduce a configurable MPSoC framework called RVNoC that generates synthesizable RTL that can be used in both ASIC and FPGA implementations. The proposed framework is based on the open source RISC-V Instruction Set Architecture (ISA) and an open source configurable flit-based router for interconnection between cores, with a core network interface of our design to connect each core with its designated router. A benchmarking environment is developed to evaluate variant parameters of the generated MPSoC. Synthesis of a single building block containing a single core without any peripherals, a router, and a core network interface, using 45nm technology, shows an area of 102.34 kilo Gate Equivalents (kGE), a maximum frequency of 250 MHz, and a 9.9 μW/MHz power consumption.

This paper discusses an effective way to fuse multiple tools to make a modern and easy-to-use software to get some key findings about health related topics on online social platforms, with a special focus on the famous Finnish forum, Suomi24. Several natural language processing have been tested and, sometimes, modified in order to accommodate the Finnish language linguistic structure and achieve our tasks of mining the health discussion content. We also explore the ability to monitor and track diseases in Finish open discussion forum. The developed modular system can help clinicians and medical experts to analyze similar forums to identify and track related events that can be correlated with hospital dataset in order to generate new hypotheses that initiate future treatment based approaches.