👉 Bleeding computing is an innovative approach to data processing that integrates computation and storage into a single, unified system, eliminating the traditional separation between memory and storage devices. In conventional computing, data is stored in separate memory (RAM) and processed by CPUs, requiring data to be repeatedly transferred between these components, which can be slow and inefficient. Bleeding computing, however, allows data to be stored directly within the memory itself, often using specialized memory technologies like resistive RAM (ReRAM) or phase-change memory (PCM), enabling faster access and more efficient data handling. This integration reduces latency, enhances performance, and optimizes energy consumption by minimizing data movement, making it particularly valuable for applications demanding real-time processing and high-speed data analysis.
