👉 Flag computing is a computational paradigm that leverages the inherent parallelism and distributed nature of flags, which are binary vectors representing sets of bits. In this model, each bit in a flag corresponds to a specific event or condition, and computing operations are performed by setting, clearing, or checking these flags, which can be done efficiently using bitwise operations. This approach is particularly advantageous for problems involving large sets of boolean conditions, such as database queries, network routing, and machine learning tasks. By representing complex logical operations through simple bitwise manipulations, flag computing can significantly reduce computational overhead and memory usage, making it a powerful tool for optimizing performance in various applications.
