ren rui
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Cosine normalization: Using cosine similarity instead of dot product in neural networks
C Luo, J Zhan, X Xue, L Wang, R Ren, Q Yang
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
Logmaster: Mining event correlations in logs of large-scale cluster systems
X Fu, R Ren, J Zhan, W Zhou, Z Jia, G Lu
2012 IEEE 31st Symposium on Reliable Distributed Systems, 71-80, 2012
Digging deeper into cluster system logs for failure prediction and root cause diagnosis
X Fu, R Ren, SA McKee, J Zhan, N Sun
IEEE International Conference on Cluster Computing (CLUSTER), 2014
Data motifs: A lens towards fully understanding big data and ai workloads
W Gao, J Zhan, L Wang, C Luo, D Zheng, F Tang, B Xie, C Zheng, X Wen, ...
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
Bigdatabench: A scalable and unified big data and ai benchmark suite
W Gao, J Zhan, L Wang, C Luo, D Zheng, X Wen, R Ren, C Zheng, X He, ...
arXiv preprint arXiv:1802.08254, 2018
AIBench training: Balanced industry-standard AI training benchmarking
F Tang, W Gao, J Zhan, C Lan, X Wen, L Wang, C Luo, Z Cao, X Xiong, ...
2021 IEEE International Symposium on Performance Analysis of Systems and …, 2021
Deep convolutional neural networks for log event classification on distributed cluster systems
R Ren, J Cheng, Y Yin, J Zhan, L Wang, J Li, C Luo
2018 IEEE International Conference on Big Data (Big Data), 1639-1646, 2018
Logmaster: Mining event correlations in logs of large scale cluster systems
R Ren, X Fu, J Zhan, W Zhou
arXiv preprint arXiv:1003.0951, 2010
BigDataBench: a dwarf-based big data and AI benchmark suite
W Gao, J Zhan, L Wang, C Luo, D Zheng, R Ren, C Zheng, G Lu, J Li, ...
arXiv preprint arXiv:1802.08254, 2018
Data motif-based proxy benchmarks for big data and AI workloads
W Gao, J Zhan, L Wang, C Luo, Z Jia, D Zheng, C Zheng, X He, H Ye, ...
2018 IEEE International Symposium on Workload Characterization (IISWC), 48-58, 2018
BigDataBench-S: an open-source scientific big data benchmark suite
X Tian, S Dai, Z Du, W Gao, R Ren, Y Cheng, Z Zhang, Z Jia, P Wang, ...
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
An electricity consumption model for synthesizing scalable electricity load curves
Y Huang, J Zhan, C Luo, L Wang, N Wang, D Zheng, F Fan, R Ren
Energy 169, 674-683, 2019
Anomaly analysis for co-located datacenter workloads in the alibaba cluster
R Ren, J Li, L Wang, J Zhan, Z Cao
arXiv preprint arXiv:1811.06901, 2018
Daphne: a flexible and hybrid scheduling framework in multi-tenant clusters
Y Xia, R Ren, H Cai, AV Vasilakos, Z Lv
IEEE Transactions on Network and Service Management 15 (1), 330-343, 2017
Computer system, and method for processing multiple application programs
BAO Yungang, MA Jiuyue, SUI Xiufeng, REN Rui, L Zhang
US Patent 10,572,309, 2020
Characterization and architectural implications of big data workloads
L Wang, R Ren, J Zhan, Z Jia
IEEE International Symposium on Performance Analysis of Systems and Software …, 2016
Landscape of big medical data: a pragmatic survey on prioritized tasks
Z Zhang, W Gao, F Zhang, Y Huang, S Dai, F Fan, J Zhan, M Du, S Yin, ...
IEEE Access 7, 15590-15611, 2019
Service dependency based dynamic load balancing algorithm for container clusters
J Zhang, R Ren, C Huang, X Fei, W Qun, H Cai
2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 70-77, 2018
Online anomaly detection framework for spark systems via stage-task behavior modeling
R Ren, S Tian, L Wang
Proceedings of the 15th ACM International Conference on Computing Frontiers …, 2018
GAI: A centralized tree-based scheduler for machine learning workload in large shared clusters
C Gao, R Ren, H Cai
Algorithms and Architectures for Parallel Processing: 18th International …, 2018
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