![]() In grid computing, each computing task is broken into small fragments and distributed across computing nodes for efficient execution. The overall grid architecture looks like a single computing entity. Computers participating in a grid contribute resources such as processing power, network bandwidth, and storage capacity to perform operations requiring high computational power. Grid computing can be viewed as a subset of distributed computing, where a virtual supercomputer integrates the resources of several independent computers that are distributed across geographies. ![]() As a result, the computers can consolidate and deliver a combined output for the assigned main task. The software allows computers to communicate and share information on the portion of the subtasks being carried out. Upon completion of the subtasks, the outputs of all computers are aggregated to complete the larger main task. This allows all the computers to work simultaneously on their respective subtasks. Fundamentally, the software segregates the main task into subtasks and assigns the subtasks to each computer. The software coordinates and manages all the tasks of the grid. Grid computing operates by running specialized software on every computer involved in the grid network.
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