Reconfigurable arrays refer to a class of hardware components that can be dynamically reconfigured to adapt to various applications or changes in requirements. These arrays typically consist of multiple processing elements or units interconnected through a flexible network topology, allowing them to be reconfigured to perform different tasks or optimize performance for specific applications. Reconfigurable arrays are commonly used in fields such as digital signal processing, image processing, and telecommunications, where the ability to adapt to varying computational requirements is crucial. By dynamically reconfiguring the array, designers can achieve higher levels of performance, energy efficiency, and flexibility compared to traditional fixed architectures. Research in reconfigurable arrays focuses on developing efficient algorithms, architectures, and design methodologies to leverage the flexibility of these arrays effectively. This includes techniques for mapping applications to the array, optimizing reconfiguration overhead, and exploring novel reconfiguration mechanisms to exploit parallelism and resource sharing. Overall, reconfigurable arrays offer a promising approach to enhancing the performance and versatility of modern computing systems.