Multilayer Octagon-Cell Interconnection Networks: Performance Parameters and Its Analysis

Mohanty, Sanjukta; Behera, P. K.

doi:10.1109/wispnet51692.2021.9419467

Cited by 1 publication

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The new current location of the packet is (3,1); using the formula, we will now get the value of N1 = −1, N 2 = −1, N3 = −1, and N4 = 1; this implies that from Table 1, we have to move towards the south direction. Therefore, the new address will be (3,2). Applying the same computations, the values generated are N1 = −1, N2 = −1, N3 = −1, and N4 = 1 which can be inferred as the south direction from Table 1.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 97%

“…The mesh architecture is well-known among the inquires because of its reality. It is basic in structure and profoundly adaptable plan and requires less territory on the chip [2]. As the driving part of the topology is the steering calculation, in this manner, the different directing calculations are accessible for two-dimensional work topology.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Multineuron-Based Routing Algorithm of Tile-Based 2-D Mesh

Faujdar

Punhani

Agarwal

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Tile-based architecture is broadly utilized in the structuring of the system-on-chip by different vendors. Nevertheless, the performance of the system-on-chip (SoC) is incredibly influenced by the performance of the network hidden on a chip named network-on-chip (NoC). Routing of network-on-chip network chips plays a crucial role in the overall performance of the NoC. In this paper, we have proposed a routing algorithm that utilizes the neural network to perform the routing. This routing algorithm updates the route dependent on the port execution of the switch. From the outcome, the execution of the directing has worked successfully and has the option to deal with the enormous burden viably. The result obtained shows that the performance metric for the uniform traffic is slightly better in comparison to XY routing at the higher loads of 80%. In the case of neighbor traffic, bit complement traffic, and tornado traffic, these values are higher on 80% of the load. The reason for better handling of the loads is due to the parallelization due to the pipeline created by the neural network routing decision.

show abstract

Section: Wireless Communications and Mobile Computingmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%