Before revision:  The proposed solution can significantly reduce main-memory accesses while training the latest CNN models, and the experiments on a chip multiprocessor with our modified Caffe implementation show that the proposed BN restructuring can improve the performance of DenseNet with 121 convolutional layers by 28.4 \%.
After revision:  The proposed solution can significantly reduce main-memory accesses while training the latest CNN models, and the experiments on a chip multiprocessor show that the proposed BN restructuring can improve the performance of DenseNet with 121 convolutional layers by 28.4 \%.