Project Adam: Building an Efficient and Scalable Deep Learning Training System - researchr publication authors

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Trishul M. Chilimbi, Yutaka Suzue, Johnson Apacible, Karthik Kalyanaraman. Project Adam: Building an Efficient and Scalable Deep Learning Training System. In Jason Flinn, Hank Levy, editors, 11th USENIX Symposium on Operating Systems Design and Implementation, OSDI '14, Broomfield, CO, USA, October 6-8, 2014. pages 571-582, USENIX Association, 2014. [doi]

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