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Interconnection network are used to connect nodes, where nodes can be a single processor or group of processors, to other nodes. Interconnection networks can be categorized on the basis of their topology. Topology is the pattern in which one node is connected to other nodes. There are two main types of topology: static and dynamic.
In an MIMD distributed memory machine with a hypercube system interconnection network containing four processors, a processor and a memory module are placed at each vertex of a square. The diameter of the system is the minimum number of steps it takes for one processor to send a message to the processor that is the farthest away.
Figure 1: Butterfly Network for 8 processors. A butterfly network is a technique to link multiple computers into a high-speed network. This form of multistage interconnection network topology can be used to connect different nodes in a multiprocessor system.
NVDLA is NVIDIA's deep-learning inference accelerator. It is an open-source hardware design available in a number of highly parametrizable configurations. The small-NVDLA model is designed to be deployed in resource-constrained scenarios such as IoT where cost, area and power are the main concerns.
Hypercube interconnection network is formed by connecting N nodes that can be expressed as a power of 2. This means if the network has N nodes it can be expressed as : = where m is the number of bits that are required to label the nodes in the network.
An 8x8 Omega network is a multistage interconnection network, meaning that processing elements (PEs) are connected using multiple stages of switches. Inputs and outputs are given addresses as shown in the figure. The outputs from each stage are connected to the inputs of the next stage using a perfect shuffle connection system. This means that ...
In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [1] [2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain. Artificial ...
The network switch is only used to connect the server within a cell 0. A cell 1 contains k=n+1 cell 0 cells, and similarly a cell 2 contains k * n + 1 dcell 1 . The DCell is a highly scalable architecture where a four level DCell with only six servers in cell 0 can accommodate around 3.26 million servers.