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  1. No Access

    Chapter and Conference Paper

    AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking

    AI benchmarking provides yardsticks for benchmarking, measuring and evaluating innovative AI algorithms, architecture, and systems. Coordinated by BenchCouncil, this paper presents our joint research and engin...

    Wanling Gao, Chunjie Luo, Lei Wang… in Benchmarking, Measuring, and Optimizing (2019)

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    Chapter and Conference Paper

    Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking

    In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for edge computing benchmarking, ...

    Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao… in Benchmarking, Measuring, and Optimizing (2019)

  3. No Access

    Chapter and Conference Paper

    The Implementation and Optimization of Matrix Decomposition Based Collaborative Filtering Task on X86 Platform

    With the rapid development of the information age, the recommendation system becomes more and more significant to help people find hidden information from the big dataset in daily lives. Collaborative filterin...

    Tianshu Hao, Zi** Zheng in Benchmarking, Measuring, and Optimizing (2020)