A 400MHz NPU with 7.8TOPS 2 /W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units

Deep neural networks present a promising future in applications, ranging from face ID on mobile phones to self-driving cars. Weight pruning and quantization act as valuable solutions to release the burden of computation and memory. Figure 1 shows the family of weight pruning, including the fine-grained and several structural pruning methods. With similar compression rates, coarse-grained pruning r...