👉 Phantom computing is a technique that allows for the execution of computations on data that has not yet been processed or stored in memory, but is instead held in a separate, often off-chip, memory space. This method leverages the inherent parallelism of modern hardware architectures to perform computations on data that is being transferred from main memory, thus enabling faster processing by utilizing the computational resources of the memory itself. By doing so, phantom computing can significantly reduce latency and increase throughput, especially in scenarios where data is being fetched from large memory banks or external storage devices. This approach is particularly useful in applications like big data processing, machine learning, and real-time analytics, where the ability to handle large volumes of data efficiently is crucial.
