A computational network refers to a system or structure composed of interconnected computational units, such as computers, servers, or processing nodes, that work together to perform complex computations or tasks. These networks can vary in size and complexity, ranging from small local networks to large-scale distributed computing systems.
In the context of data processing and analysis, computational networks are often used to handle the computational demands of processing and analyzing large datasets. They enable parallel processing and distributed computing, where tasks are divided among multiple nodes and executed simultaneously, thereby improving performance and efficiency.
Computational networks can be designed using various architectures and technologies, such as clusters, grids, cloud computing platforms, or even specialized high-performance computing systems. They often employ techniques like load balancing, fault tolerance, and data partitioning to optimize resource utilization and ensure reliable and efficient computation.
Overall, computational networks provide the infrastructure and framework necessary to tackle complex computational problems, particularly those involving large-scale data processing and analysis.
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