Performance Analysis of Interconnection Networks Using a Novel Metric

Multiprocessor is a handling device within any event with two preparing units sharing the access. The primary reason for employing the multiprocessor includes dealing with undertakings during a consistent way while as yet supporting the framework's performance. Interconnection Networks are hub to hub associations produced using single processor or a gaggle of processing units. These connections permit data to be moved from one processor to resulting or from memory to processor, permitting the errand to be isolated and assessed similarly. Hypercube frameworks are a sort of device topography that connects various processing units with the memory modules and correctly course the data. Hypercubes are frequently seen as a chart with hubs and edges, with every hub including a processing unit and each link addressing a relation among the processing units to send information. In this paper, a bunch of multiprocessor interconnection network designs are thought of and their performance is assessed with the help of a totally extraordinary proposed metric. The normal upsides of the boundaries like diameter, degree, speed, inclusion of hubs, and loss of packets at that point on are considered to arrive at the proposed metric "Performance Index" with the help of a legitimized weight metric. Non-linear regression system is utilized to assess the exact upsides of the performance index of different multiprocessor hypercube interconnection networks. These qualities are contrasted with a summary of the productive variation reasonable for a wide choice of multiprocessing applications.