Search Results for author: Rui Ren

Found 5 papers, 0 papers with code

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads

no code implementations2 Dec 2019 Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren

This paper outlines BenchCouncil's view on the challenges, rules, and vision of benchmarking modern workloads like Big Data, AI or machine learning, and Internet Services.

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

no code implementations23 Feb 2018 Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Xu Wen, Rui Ren, Chen Zheng, Xiwen He, Hainan Ye, Haoning Tang, Zheng Cao, Shujie Zhang, Jiahui Dai

On the basis of our previous work that identifies eight data motifs taking up most of the run time of a wide variety of big data and AI workloads, we propose a scalable benchmarking methodology that uses the combination of one or more data motifs---to represent diversity of big data and AI workloads.

Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems

no code implementations25 Oct 2017 Jiechao Cheng, Rui Ren, Lei Wang, Jianfeng Zhan

The increasing popularity of server usage has brought a plenty of anomaly log events, which have threatened a vast collection of machines.

Classification General Classification

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