👉 Drag computing, also known as drag-based or drag-assisted computation, is a novel approach in high-performance computing that leverages the physical movement of data to enhance computational efficiency. Instead of relying solely on traditional memory bandwidth and processing power, this method utilizes the mechanical motion of data storage devices, such as hard drives or solid-state drives, to move data closer to the processing units, thereby reducing latency and increasing throughput. By strategically placing data near where it is needed for computation, drag computing minimizes the time spent on data transfer and optimizes overall system performance. This technique is particularly beneficial in scenarios where large datasets are processed frequently, such as in scientific simulations or big data analytics, as it can significantly accelerate computation times and improve energy efficiency.
