CNN Data Processing Apparatus Parallel Filter Operation Control

The patent applies preliminary action by pre-loading and storing filter coefficient data in a dedicated coefficient data holding unit before the actual convolution operations begin. This allows the data supply unit to provide coefficients to operators without waiting for real-time computation, thereby eliminating data supply bottlenecks during parallel processing of small kernel sizes while maintaining high throughput

The patent implements universality by designing a configurable operator assignment mechanism where the same hardware operators can be dynamically assigned to different kernel sizes and convolution configurations. The control unit manages operator allocation based on the specific computation requirements, allowing a fixed number of operators to efficiently handle variable workloads without requiring dedicated hardware for each configuration, thus maintaining speed while controlling complexity

The patent applies local quality by implementing selective filter operation execution where the control unit determines which specific filter operations need to be performed based on the current computation requirements and kernel size. Instead of universally executing all possible filter operations on all reference data, the system selectively activates only the necessary operator-filter combinations, thereby maintaining recognition accuracy through complete necessary computations while eliminating redundant operations to improve computational efficiency