👉 Track computing, also known as track-based or track-oriented computation, is a novel approach in computing that leverages the inherent parallelism and locality of data stored on specific tracks within a memory hierarchy, such as in non-volatile memory technologies like ReRAM (Resistive Random Access Memory) or MRAM (Magnetoresistive Random Access Memory). In this model, computations are performed directly on the data stored in these tracks, rather than transferring it between different memory levels or processing units. This architecture minimizes data movement and leverages the high bandwidth and low latency of memory arrays, making it particularly efficient for tasks involving large datasets or real-time processing. By keeping data and computation closely coupled, track computing can significantly enhance performance and energy efficiency, especially in edge computing, IoT devices, and applications requiring low power consumption and fast response times.
