Al Engine Structures in LG TV Processor

Recently, artificial intelligence(AI) functions have been rapidly adopted to TV systems. We have developed two different kinds of AI picture processing engine structures. The first one is an optimized structure for pixel level processing, which requires large logic area in chip for highly complicated computations on huge amount of data. Specifically, the activation data can be transferred from the previous layer to the next layer without external data movement, which only requires minimum internal memory transactions. The second one is a more general structure which can be used for various applications. Most deep learning engines show lower MAC utilization ratio than expected, which may result from excessive external memory transactions. For high utilization, we adopted memory bandwidth reduction methods such as weight clustering, layer fusion, and multiple layer fusion. Our convolution engine with 8-bit integer precision also reduced both memory bandwidth and power consumption. In the result, LG TV processor can conduct both pixel level processing and recognition in a very efficient way and shows astonishing image quality.