Abstract
This article presents a qualitative analysis of a 3D routing algorithm in a 3×3×3 mesh NOC topology. The effect of load variation on throughput, total energy, and maximum delay for different types of routing is observed. The simulation was performed on an Access NOXIM network-on-chip simulator under random traffic conditions. The research involves quality parameters like total packets received, total received flits, global average delay (cycles), global average throughput (flits/cycle), throughput (flits/cycle/IP), max delay (cycles), total energy (J), average power (J/cycle), average power per router (J/cycle), and average waiting time in each buffer. In this article, it was observed after comparing all the routing techniques against the mention parameters the XYZ routing techniques was found perform better followed by West first, and North last, while poor performance was observed against odd-even, negative first, and fully adaptive.
Highlights
A fast and smart biomedical DAS is composed of many integrated IPs and scaled interconnects
The minimum value for maximum delay with respect to throughput was observed with value < 0.1 in case of odd even routing algorithm
Maximum energy with respect to throughput observed against the all routing algorithms was >0.7(scaled)
Summary
A fast and smart biomedical DAS is composed of many integrated IPs and scaled interconnects. NoC architecture gives a wide arrangement space including system topology, routing algorithms, and router design, where all impact framework execution to the impairment of different measures of system assets; along these lines the system design for such installed applications ought to be carefully chosen to meet the prerequisites (Matsutani, Koibuchi, & Amano, 2007). Such implanted applications frequently request tight outline imperatives regarding cost and performance, in this manner the silicon spending plan accessible for their on-chip mastermind structure should be unassuming as long as the required execution is met. On choosing whether to pick a two-dimensional (2D) or 3D NoC as a plan it is showed up in (Alexandros B, 2007) that 3D NoCs are profitable, giving better execution
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