Accelerating TensorFlow with RDMA for High-Performance Deep Learning

Xiaoyi Lu from Ohio State University gave this talk at the 2019 OpenFabrics Workshop in Austin. "Google's TensorFlow is one of the most popular Deep Learning (DL) frameworks. We propose a unified way of achieving high performance through enhancing the gRPC runtime with Remote Direct Memory Access (RDMA) technology on InfiniBand and RoCE. Through our proposed RDMAgRPC design, TensorFlow only needs to run over the gRPC channel and gets the optimal performance."

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