Robust Load Prediction of Power Network Clusters Based on Cloud-Model-Improved Transformer

no code implementations • 30 Jul 2024 • Cheng Jiang, Gang Lu, Xue Ma, Di wu

Load data from power network clusters indicates economic development in each area, crucial for predicting regional trends and guiding power enterprise decisions.

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach

no code implementations • 7 Jun 2024 • Jianbo Dong, Bin Luo, Jun Zhang, Pengcheng Zhang, Fei Feng, Yikai Zhu, Ang Liu, Zian Chen, Yi Shi, Hairong Jiao, Gang Lu, Yu Guan, Ennan Zhai, Wencong Xiao, Hanyu Zhao, Man Yuan, Siran Yang, Xiang Li, Jiamang Wang, Rui Men, Jianwei Zhang, Huang Zhong, Dennis Cai, Yuan Xie, Binzhang Fu

By leveraging this feature, C4 can rapidly identify the faulty components, swiftly isolate the anomaly, and restart the task, thereby avoiding resource wastage caused by delays in anomaly detection.

Anomaly Detection

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite

no code implementations • 17 Feb 2020 • Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan, Xu Wen, Fan Zhang, Yunyou Huang, Jianan Chen, Mengjia Du, Rui Ren, Chen Zheng, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Gang Lu, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye

An end-to-end benchmark is a distillation of the essential attributes of an industry-scale application.

Benchmarking