11 citations · 23 across the 8 of their papers we have counts for
4 papers · 1 filter
SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation
Yifan Xiong, Yuting Jiang, Ziyue Yang +17
Reliability in cloud AI infrastructure is crucial for cloud service providers, prompting the widespread use of hardware redundancies. However, these redundancies can inadvertently…
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
Zhiqi Lin, Youshan Miao, Guodong Liu +10
With the growing model size, deep neural networks (DNN) are increasingly trained over massive GPU accelerators, which demands a proper parallelization plan that transforms a DNN mo…
Towards Efficient Large-Scale Graph Neural Network Computing
Lingxiao Ma, Zhi Yang, Youshan Miao +4
Recent deep learning models have moved beyond low-dimensional regular grids such as image, video, and speech, to high-dimensional graph-structured data, such as social networks, br…
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA
Jilong Xue, Youshan Miao, Cheng Chen +3
Deep learning emerges as an important new resource-intensive workload and has been successfully applied in computer vision, speech, natural language processing, and so on. Distribu…