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Hetu: a highly efficient automatic parallel distributed deep learning system
Miao, Xupeng; Nie, Xiaonan; Zhang, Hailin; Zhao, Tong; Cui, Bin
Sci China Inf Sci, 2023, 66(1): 117101
Keywords: deep learning; distributed system; artificial intelligence; parallel computing; machine learning
Cite as: Miao X P, Nie X N, Zhang H L, et al. Hetu: a highly efficient automatic parallel distributed deep learning system. Sci China Inf Sci, 2023, 66(1): 117101, doi: 10.1007/s11432-022-3581-9
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SMAF: a secure and makespan-aware framework for executing serverless workflows
Zhang, Shuai; Guo, Yunfei; Guo, Zehua; Hu, Hongchao; Chen, Guozhen
Sci China Inf Sci, 2023, 66(3): 139105
Keywords: serverless computing; workflow scheduling; security; makespan; proactive Defense
Cite as: Zhang S, Guo Y F, Guo Z H, et al. SMAF: a secure and makespan-aware framework for executing serverless workflows. Sci China Inf Sci, 2023, 66(3): 139105, doi: 10.1007/s11432-021-3408-y
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Accelerate distributed deep learning with cluster-aware sketch quantization
Ge, Keshi; Zhang, Yiming; Fu, Yongquan; Lai, Zhiquan; Deng, Xiaoge; Li, Dongsheng
Sci China Inf Sci, 2023, 66(6): 162102
Keywords: distributed training; deep learning; communication; sketch; quantization
Cite as: Ge K S, Zhang Y M, Fu Y Q, et al. Accelerate distributed deep learning with cluster-aware sketch quantization. Sci China Inf Sci, 2023, 66(6): 162102, doi: 10.1007/s11432-021-3532-8
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Practical cloud storage auditing using serverless computing
Chen, Fei; Cai, Jianquan; Xiang, Tao; Liao, Xiaofeng
Sci China Inf Sci, 2024, 67(3): 132102
Keywords: cloud storage auditing; serverless computing; object storage; usability
Cite as: Chen F, Cai J Q, Xiang T, et al. Practical cloud storage auditing using serverless computing. Sci China Inf Sci, 2024, 67(3): 132102, doi: 10.1007/s11432-022-3597-3
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HTDcr: a job execution framework for high-throughput computing on supercomputers
Jiang, Jiazhi; Huang, Dan; Chen, Hu; Lu, Yutong; Liao, Xiangke
Sci China Inf Sci, 2024, 67(1): 112104
Keywords: high-throughput computing; supercomputer; task scheduling; middleware; password guessing
Cite as: Jiang J Z, Huang D, Chen H, et al. HTDcr: a job execution framework for high-throughput computing on supercomputers. Sci China Inf Sci, 2024, 67(1): 112104, doi: 10.1007/s11432-022-3657-3
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Power synchronization: taming massive diversified serverless functions under power constraints
Liu, Du; Zhang, Lu; Xu, Yechen; Wang, Xinkai; Sun, Lingyu; Pu, Yifei; Hou, Xiaofeng; Guo, Minyi; Li, Chao
Sci China Inf Sci, 2025, 68(3): 132101
Keywords: serverless computing; variability; energy efficiency; power management; power synchronization
Cite as: Liu D, Zhang L, Xu Y C, et al. Power synchronization: taming massive diversified serverless functions under power constraints. Sci China Inf Sci, 2025, 68(3): 132101, doi: 10.1007/s11432-022-3882-y
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An efficient binary programming method for black-box optimization and its application in processor design
Lv, Xiaoliang; Zhai, Qiaozhu; Hu, Jianchen; Zhu, Yuhang; Liu, Jinhui; Guan, Xiaohong
Sci China Inf Sci, 2024, 67(12): 222102
Keywords: black-box optimization; binary programming; design space exploration; processor design; expensive simulation system
Cite as: Lv X L, Zhai Q Z, Hu J C, et al. An efficient binary programming method for black-box optimization and its application in processor design. Sci China Inf Sci, 2024, 67(12): 222102, doi: 10.1007/s11432-023-3963-7
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MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs
Liu, Xuanzhe; Zhao, Yihao; Liu, Shufan; Li, Xiang; Zhu, Yibo; Liu, Xin; Jin, Xin
Sci China Inf Sci, 2024, 67(12): 222101
Keywords: GPU cluster; deep learning workload; cluster management; GPU sharing; deployed system
Cite as: Liu X Z:, Zhao Y H, Liu S F, et al. MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. Sci China Inf Sci, 2024, 67(12): 222101, doi: 10.1007/s11432-024-4227-2
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SDCC: software-defined collective communication for distributed training
Jin, Xin; Zhang, Zhen; Jia, Yunshan; Ma, Yun; Liu, Xuanzhe
Sci China Inf Sci, 2024, 67(9): 192104
Keywords: machine learning systems; distributed training; deep learning; collective communication; software-defined networking
Cite as: Jin X, Zhang Z, Jia Y S, et al. SDCC: software-defined collective communication for distributed training. Sci China Inf Sci, 2024, 67(9): 192104, doi: 10.1007/s11432-023-3894-4
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OpBench: an operator-level GPU benchmark for deep learning
Gu, Qingwen; Fan, Bo; Liu, Zhengning; Cao, Kaicheng; Zhang, Songhai; Hu, Shimin
Sci China Inf Sci, 2024, 67(9): 192102
Keywords: deep learning; operator benchmark; model benchmark; GPU performance analysis; deep neural networks
Cite as: Gu Q W:, Fan B, Liu Z N, et al. OpBench: an operator-level GPU benchmark for deep learning. Sci China Inf Sci, 2024, 67(9): 192102, doi: 10.1007/s11432-023-3989-3
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Keywords: edge computing; collaborative inference; robust optimization; multi-model; joint configuration
Cite as: Yang Z M, Ji W, Wang Z. Adaptive joint configuration optimization for collaborative inference in edge-cloud systems. Sci China Inf Sci, 2024, 67(4): 149103, doi: 10.1007/s11432-023-3957-4
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A smart hybrid memory scheduling approach using neural models
Zhen, Yanjie; Zhang, Huijun; Deng, Yongheng; Chen, Weining; Gao, Wei; Ren, Ju; Chen, Yu
Sci China Inf Sci, 2024, 67(4): 149102
Keywords: Computer Architecture; Hybrid Memory Management; Page Scheduling; Neural Model; Long Short-Term Memory; Clustering
Cite as: Zhen Y J, Zhang H J, Deng Y H, et al. A smart hybrid memory scheduling approach using neural models. Sci China Inf Sci, 2024, 67(4): 149102, doi: 10.1007/s11432-023-3925-2
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Keywords: sketch; top-k; network measurement; elephant flow; high-speed networks
Cite as: Zhang B Y, Huang H, Sun Y-E, et al. Jigsaw-Sketch: a fast and accurate algorithm for finding top-k elephant flows in high-speed networks. Sci China Inf Sci, 2024, 67(4): 142101, doi: 10.1007/s11432-022-3794-1
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Mitigate noisy data for smart IoT via GAN based machine unlearning
Ma, Zhuo; Yang, Yilong; Liu, Yang; Liu, Xinjing; Ma, Jianfeng
Sci China Inf Sci, 2024, 67(3): 132104
Keywords: machine unlearning; generative adversarial network; out of distribution data; Internet of Thing; neural network
Cite as: Ma Z, Yang Y L, Liu Y, et al. Mitigate noisy data for smart IoT via GAN based machine unlearning. Sci China Inf Sci, 2024, 67(3): 132104, doi: 10.1007/s11432-022-3671-9
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Keywords: consortium blockchain; data auditing; key exposure resistance; fairness; industrial Internet of Things; IIoT; IoT
Cite as: Yang P, Ren J L. A blockchain-based data auditing scheme with key-exposure resistance for IIoT. Sci China Inf Sci, 2024, 67(2): 129102, doi: 10.1007/s11432-023-3828-7
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Building a domain-specific compiler for emerging processors with a reusable approach
Li, Mingzhen; Liu, Yi; Chen, Bangduo; Yang, Hailong; Luan, Zhongzhi; Qian, Depei
Sci China Inf Sci, 2024, 67(1): 112101
Keywords: domain-specific compiler; emerging processor; reusable dialect; performance optimization; MLIR
Cite as: Li M Z, Liu Y, Chen B D, et al. Building a domain-specific compiler for emerging processors with a reusable approach. Sci China Inf Sci, 2024, 67(1): 112101, doi: 10.1007/s11432-022-3727-6
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Chip design with machine learning: a survey from algorithm perspective
He, Wenkai; Li, Xiaqing; Song, Xinkai; Hao, Yifan; Zhang, Rui; Du, Zidong; Chen, Yunji
Sci China Inf Sci, 2023, 66(11): 211101
Keywords: chip design; machine learning; chip design automation; design result estimation; design optimization and correction; design construction
Cite as: He W K, Li X Q, Song X K, et al. Chip design with machine learning: a survey from algorithm perspective. Sci China Inf Sci, 2023, 66(11): 211101, doi: 10.1007/s11432-022-3772-8
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Rescue to the Curse of universality
Zhao, Yongwei; Du, Zidong; Guo, Qi; Xu, Zhiwei; Chen, Yunji
Sci China Inf Sci, 2023, 66(9): 192102
Keywords: universality; general-purpose architecture; specialized architecture; deep learning processor; universal circuit
Cite as: Zhao Y W, Du Z D, Guo Q, et al. Rescue to the Curse of universality. Sci China Inf Sci, 2023, 66(9): 192102, doi: 10.1007/s11432-021-3596-x
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Keywords: DDoS attack; machine learning; feature extraction; detection delay; cost-efficiency
Cite as: Li H B, Zhao Y, Yao W B, et al. Towards real-time ML-based DDoS detection via cost-efficient window-based feature extraction. Sci China Inf Sci, 2023, 66(5): 152105, doi: 10.1007/s11432-021-3545-0
