👉 Reduction computing is a computational paradigm that focuses on minimizing the amount of data processed and transmitted during calculations, aiming to reduce energy consumption, bandwidth usage, and storage requirements. This is achieved through techniques such as data compression, sparse representation, and algorithmic optimizations that prioritize only the most relevant information. By reducing the size of data, reduction computing not only enhances efficiency but also makes it particularly suitable for resource-constrained environments like edge devices and large-scale distributed systems, where minimizing data movement is crucial for performance and sustainability.
