Leapfrogging for parallelism in deep neural networks
نویسنده
چکیده
We present a technique, which we term leapfrogging, to parallelize backpropagation in deep neural networks. We show that this technique yields a savings of 1 − 1/k of a dominant term in backpropagation, where k is the number of threads (or gpus).
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عنوان ژورنال:
- CoRR
دوره abs/1801.04928 شماره
صفحات -
تاریخ انتشار 2018