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Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

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Hi@SmorkalovME, I was running multi-nodes intel-caffe on amd cpus(x86)(64cores),when i use single node ,the cores are used 100%, ![image](https://user-images.githubusercontent.com/7659413/46141171-bcdf7480-c285-11e8-9062-69bc9cea4961.png) but when i run on multinodes(4nodes or more),only few cores are...

Has anybody tried MLSL with tf_cnn_benchmarks ( tensorflow benchmarks)? I am thinking of doing it. Just want to know if anyone is already working on it.

when i run intel caffe on multi-node(four node) with mlsl on AMD cpus,something is wrong ,the training stopped at the Iteration 0, when run on single node ,it is ok....