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Cloud Collectives: Towards Cloud-aware Collectives forML Workloads with Rank Reordering


May 28, 2021
Liang Luo, Jacob Nelson, Arvind Krishnamurthy, Luis Ceze


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Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks


Apr 23, 2021
Chien-Yu Lin, Liang Luo, Luis Ceze


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High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models


Apr 15, 2021
Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, KR Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao


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Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training


May 21, 2018
Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy


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