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Wei Lin
Wei Lin
Alibaba
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Title
Cited by
Cited by
Year
Apollo: Scalable and Coordinated Scheduling for {Cloud-Scale} Computing
E Boutin, J Ekanayake, W Lin, B Shi, J Zhou, Z Qian, M Wu, L Zhou
11th USENIX symposium on operating systems design and implementation (OSDI …, 2014
4182014
Comet: batched stream processing for data intensive distributed computing
B He, M Yang, Z Guo, R Chen, B Su, W Lin, L Zhou
Proceedings of the 1st ACM symposium on Cloud computing, 63-74, 2010
1842010
Aligraph: a comprehensive graph neural network platform
R Zhu, K Zhao, H Yang, W Lin, C Zhou, B Ai, Y Li, J Zhou
arXiv preprint arXiv:1902.08730, 2019
1332019
WiDS checker: Combating bugs in distributed systems
X Liu, W Lin, A Pan, Z Zhang
1192007
Inceptext: A new inception-text module with deformable psroi pooling for multi-oriented scene text detection
Q Yang, M Cheng, W Zhou, Y Chen, M Qiu, W Lin, W Chu
arXiv preprint arXiv:1805.01167, 2018
1152018
Optimizing Data Shuffling in {Data-Parallel} Computation by Understanding {User-Defined} Functions
J Zhang, H Zhou, R Chen, X Fan, Z Guo, H Lin, JY Li, W Lin, J Zhou, ...
9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12 …, 2012
992012
{StreamScope}: Continuous Reliable Distributed Processing of Big Data Streams
W Lin, Z Qian, J Xu, S Yang, J Zhou, L Zhou
13th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2016
982016
An efficient hardware accelerator for sparse convolutional neural networks on FPGAs
L Lu, J Xie, R Huang, J Zhang, W Lin, Y Liang
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
892019
Training deeper models by GPU memory optimization on TensorFlow
C Meng, M Sun, J Yang, M Qiu, Y Gu
Proc. of ML Systems Workshop in NIPS 7, 2017
682017
Aligraph: A comprehensive graph neural network platform
H Yang
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
672019
Adabert: Task-adaptive bert compression with differentiable neural architecture search
D Chen, Y Li, M Qiu, Z Wang, B Li, B Ding, H Deng, J Huang, W Lin, ...
arXiv preprint arXiv:2001.04246, 2020
592020
Spotting Code Optimizations in {Data-Parallel} Pipelines through {PeriSCOPE}
Z Guo, X Fan, R Chen, J Zhang, H Zhou, S McDirmid, C Liu, W Lin, J Zhou, ...
10th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2012
592012
Godson-t: An efficient many-core architecture for parallel program executions
DR Fan, N Yuan, JC Zhang, YB Zhou, W Lin, FL Song, XC Ye, H Huang, ...
Journal of Computer Science and Technology 24 (6), 1061-1073, 2009
542009
M6: A chinese multimodal pretrainer
J Lin, R Men, A Yang, C Zhou, M Ding, Y Zhang, P Wang, A Wang, ...
arXiv preprint arXiv:2103.00823, 2021
532021
Advanced partitioning techniques for massively distributed computation
J Zhou, N Bruno, W Lin
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
532012
Job scheduling using expected server performance information
E Boutin, J Ekanayake, W Lin, B Shi, J Zhou
US Patent 9,442,760, 2016
492016
{AntMan}: Dynamic Scaling on {GPU} Clusters for Deep Learning
W Xiao, S Ren, Y Li, Y Zhang, P Hou, Z Li, Y Feng, W Lin, Y Jia
14th USENIX Symposium on Operating Systems Design and Implementation (OSDI …, 2020
482020
Nondeterminism in mapreduce considered harmful? an empirical study on non-commutative aggregators in mapreduce programs
T Xiao, J Zhang, H Zhou, Z Guo, S McDirmid, W Lin, W Chen, L Zhou
Companion Proceedings of the 36th International Conference on Software …, 2014
452014
A characteristic study on failures of production distributed data-parallel programs
S Li, H Zhou, H Lin, T Xiao, H Lin, W Lin, T Xie
2013 35th International Conference on Software Engineering (ICSE), 963-972, 2013
432013
DAPPLE: A pipelined data parallel approach for training large models
S Fan, Y Rong, C Meng, Z Cao, S Wang, Z Zheng, C Wu, G Long, J Yang, ...
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
342021
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