👉 Adjustable computing, also known as flexible computing or reconfigurable computing, is a paradigm that allows computing resources to be dynamically adapted to changing workloads and computational demands. Unlike traditional computing architectures that are fixed in their design, adjustable computing systems can reconfigure their hardware and software components on the fly to optimize performance for specific tasks or applications. This flexibility is achieved through technologies such as field-programmable gate arrays (FPGAs), reconfigurable logic blocks, and software-defined hardware. By enabling the simultaneous execution of multiple tasks or the adaptation of existing workloads to new requirements, adjustable computing enhances efficiency, reduces energy consumption, and accelerates innovation in fields like artificial intelligence, data analytics, and high-performance computing. This dynamic approach allows for a more efficient utilization of resources, making it particularly valuable in environments where computational needs are unpredictable or rapidly evolving.
