Luo Mai

Email: luo.mai11[AT]

About Me
I am going to start as a post-doc researcher at the Imperial College London. I am affiliated with the Large-Scale Data System Group (LSDS) led by Peter Pietzuch. I am the receipient of the Google Fellowship in Cloud Computing, and the co-founder of the TensorLayer deep learning library. I obtained my PhD from Imperial College London in 2018 under the supervision of Paolo Costa and Alexander L. Wolf.

  • KungFu: Adaptive and High-performance Deep Learning at Scale.
    Duration: 2018 - current
    Description: We are developing a novel deep learning system that aims to achieve highest possible training and inference performance using GPUs/CPUs.

  • Flare: High-performance and Self-tuning Stream Prcessing in Real-world Data Ingestion
    Duration: 2015 - current
    Description: Flare is a high-performance and self-tuning stream processing system that can handle large-scale data ingestion. Flare has been deployed within Microsoft production clusters.
    [Related publications: Chi VLDB'18]

  • NaaS: Network-as-a-Service in the Cloud
    Duration: 2012 - 2016
    Description: NaaS integrates current cloud computing offerings with secure access to the networking infrastructure, thus enabling the uses of application-specific network services to improve communication performance.
    [Related publications: Emu ATC'17, FLICK ATC'16, NetEx HotCloud'16, MLNet HotCloud'15, NetAgg CoNEXT'14]