Low-Rank Factorization (LRF) is a popular compression technique used in Deep Neural Networks (DNNs). LRF can reduce both the memory size and the arithmetic operations in a DNN layer by approximating a weight tensor/matrix by two or more smaller tensors/...

In this article, a new method is provided for accelerating the execution of convolution layers in Deep Neural Networks. This research work provides the theoretical background to efficiently design and implement the convolution layers on x86/x64 CPUs, ...