Cluster Computing
Cluster computing is a type of computing in which a group of computers are connected together to work as a single system. These computers work together to perform a task or a set of tasks. Cluster computing is used to solve complex problems that require a large amount of processing power or memory. It is commonly used in scientific research, data analysis, and machine learning. Cluster computing can be divided into two types: high-performance computing (HPC) and high-throughput computing (HTC). HPC clusters are used for tasks that require a lot of processing power, such as simulations and modeling. HTC clusters are used for tasks that require a lot of memory, such as data analysis and machine learning. Cluster computing can be implemented using different architectures, such as shared-nothing architecture, shared-disk architecture, and shared-memory architecture.
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