DLBricks: Composable Benchmark Generation to Reduce Deep Learning
Benchmarking Effort on CPUs (Extended)

DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)

18 November 2019

Jinjun Xiong

Papers citing "DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs (Extended)"

6 / 6 papers shown

Title
Benanza: Automatic $μ$ Benchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs Cheng-rong Li Abdul Dakkak Jinjun Xiong Wen-mei W. Hwu 54 10 0 16 Nov 2019
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers Wei Zhang Wei Wei Lingjie Xu Lingling Jin Cheng Li ELM 42 18 0 23 Sep 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search Bichen Wu Xiaoliang Dai Peizhao Zhang Yanghan Wang Fei Sun Yiming Wu Yuandong Tian Peter Vajda Yangqing Jia Kurt Keutzer MQ 97 1,300 0 09 Dec 2018
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark Cody Coleman Daniel Kang Deepak Narayanan Luigi Nardi Tian Zhao Jian Zhang Peter Bailis K. Olukotun Christopher Ré Matei A. Zaharia 40 117 0 04 Jun 2018
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 249 11,145 0 14 Mar 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 182 2,244 0 03 Dec 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.