RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 19

Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment
Dai, Hulin; Peng, Xuan; Shi, Xuanhua; He, Ligang; Xiong, Qian; Jin, Hai
Sci China Inf Sci, 2022, 65(1): 112103
Keywords: deep learning; performance; comparison; tensorflow; pytorch
Cite as: Dai H L, Peng X, Shi X H, et al. Reveal training performance mystery between TensorFlow and PyTorch in the single GPU environment. Sci China Inf Sci, 2022, 65(1): 112103, doi: 10.1007/s11432-020-3182-1

POSITION PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 16

Towards trustworthy blockchain systems in the era of “Internet of value”: development, challenges, and future trends
Jin, Hai; Xiao, Jiang
Sci China Inf Sci, 2022, 65(5): 153101
Keywords: blockchain; distributed systems; internet of value; challenges; development
Cite as: Jin H, Xiao J. Towards trustworthy blockchain systems in the era of “Internet of value”: development, challenges, and future trends. Sci China Inf Sci, 2022, 65(5): 153101, doi: 10.1007/s11432-020-3183-0

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 11

Communication and performance evaluation of 3-ary n-cubes onto network-on-chips
Fan, Weibei; Fan, Jianxi; Zhang, Yujie; Han, Zhijie; Chen, Guoliang
Sci China Inf Sci, 2022, 65(7): 179101
Keywords: network-on-chip; 3-ary n-cube; topology mapping; wirelength; performance evaluation
Cite as: Fan W B, Fan J X, Zhang Y J, et al. Communication and performance evaluation of 3-ary n-cubes onto network-on-chips. Sci China Inf Sci, 2022, 65(7): 179101, doi: 10.1007/s11432-019-2794-9

NEWS & VIEWS Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 7

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 6

A self-tuning client-side metadata prefetching scheme for wide area network file systems
Wei, Bing; Xiao, Limin; Song, Yao; Qin, Guangjun; Zhu, Jinbin; Yan, Baicheng; Wang, Chaobo; Huo, Zhisheng
Sci China Inf Sci, 2022, 65(3): 132101
Keywords: wide area network file systems; multiple workloads; metadata prefetching; correlation-directed prefetching; directory-directed prefetching; self-tuning prefetching
Cite as: Wei B, Xiao L M, Song Y, et al. A self-tuning client-side metadata prefetching scheme for wide area network file systems. Sci China Inf Sci, 2022, 65(3): 132101, doi: 10.1007/s11432-019-2833-1

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Scheduling multi-tenant cloud workflow tasks with resource reliability
Li, Xiaoping; Pan, Dongyuan; Wang, Yadi; Ruiz, Ruben
Sci China Inf Sci, 2022, 65(9): 192106
Keywords: multi-tenancy; resource reliability; cloud computing; scheduling
Cite as: Li X P, Pan D Y, Wang Y D, et al. Scheduling multi-tenant cloud workflow tasks with resource reliability. Sci China Inf Sci, 2022, 65(9): 192106, doi: 10.1007/s11432-020-3295-2

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 4

Stabilizing and boosting I/O performance for file systems with journaling on NVMe SSD
Qian, Lin; Tang, Bin; Ye, Baoliu; Wu, Jianyu; Wang, Xiaoliang; Lu, Sanglu
Sci China Inf Sci, 2022, 65(3): 132102
Keywords: journaling file systems; nvme ssd; microwrite merging; hash table; ceph
Cite as: Qian L, Tang B, Ye B L, et al. Stabilizing and boosting I/O performance for file systems with journaling on NVMe SSD. Sci China Inf Sci, 2022, 65(3): 132102, doi: 10.1007/s11432-019-2808-x

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 2

A fully-customized dataflow engine for 3D earthquake simulation with a complex topography
Chen, Bingwei; Fu, Haohuan; Luk, Wayne; Yang, Guangwen
Sci China Inf Sci, 2022, 65(5): 152103
Keywords: reconfigurable computing; earthquake simulation; fpga; hardware-software co-design; architecture exploration
Cite as: Chen B W, Fu H H, Luk W, et al. A fully-customized dataflow engine for 3D earthquake simulation with a complex topography. Sci China Inf Sci, 2022, 65(5): 152103, doi: 10.1007/s11432-020-2976-5

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 1

Solving multi-objective constrained minimum weighted bipartite assignment problem: a case study on energy-aware radio broadcast scheduling
Zhou, Yupeng; Fan, Mingjie; Ma, Feifei; Yin, Minghao
Sci China Inf Sci, 2022, 65(8): 182101
Keywords: constrained minimum weighted bipartite assignment; multi-objective energy-aware radio broadcast scheduling; evolutionary algorithms; dynamic resource allocation; aggregate local search
Cite as: Zhou Y P, Fan M J, Ma F F, et al. Solving multi-objective constrained minimum weighted bipartite assignment problem: a case study on energy-aware radio broadcast scheduling. Sci China Inf Sci, 2022, 65(8): 182101, doi: 10.1007/s11432-019-3017-9

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Adaptive joint configuration optimization for collaborative inference in edge-cloud systems
Yang, Zheming; Ji, Wen; Wang, Zhi
Sci China Inf Sci, 2024, 67(4): 149103
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

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Jigsaw-Sketch: a fast and accurate algorithm for finding top-k elephant flows in high-speed networks
Zhang, Boyu; Huang, He; Sun, Yu-E; Du, Yang; Wang, Dan
Sci China Inf Sci, 2024, 67(4): 142101
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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

LETTER Supplementary Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

A blockchain-based data auditing scheme with key-exposure resistance for IIoT
Yang, Pan; Ren, Jingli
Sci China Inf Sci, 2024, 67(2): 129102
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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

REVIEW Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

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

RESEARCH PAPER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

Towards real-time ML-based DDoS detection via cost-efficient window-based feature extraction
Li, Haibin; Zhao, Yi; Yao, Wenbing; Xu, Ke; Li, Qi
Sci China Inf Sci, 2023, 66(5): 152105
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

LETTER Webpage Webpage-cn SpringerLink Google Scholar Cited in SCI: 0

SWVM: a light-weighted virtualization platform based on Sunway CPU architecture
Yao, Jianguo; Lu, Qiumin; Wang, Xingyan; Wang, Chao; Ma, Hanyang; Guan, Haibing
Sci China Inf Sci, 2022, 65(6): 169101
Keywords: sunway; virtualization; hypervisor; light-weighted; virtual machines
Cite as: Yao J G, Lu Q M, Wang X Y, et al. SWVM: a light-weighted virtualization platform based on Sunway CPU architecture. Sci China Inf Sci, 2022, 65(6): 169101, doi: 10.1007/s11432-019-2769-4