Chen Meng
Chen Meng
Chinese Academy of Sciences | CAS
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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, 2017
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
Dl2: A deep learning-driven scheduler for deep learning clusters
Y Peng, Y Bao, Y Chen, C Wu, C Meng, W Lin
IEEE Transactions on Parallel and Distributed Systems 32 (8), 1947-1960, 2021
Characterizing deep learning training workloads on alibaba-pai
M Wang, C Meng, G Long, C Wu, J Yang, W Lin, Y Jia
2019 IEEE International Symposium on Workload Characterization (IISWC), 189-202, 2019
Fast Training of Deep Learning Models over Multiple GPUs
X Yi, Z Luo, C Meng, M Wang, G Long, C Wu, J Yang, W Lin
Proceedings of the 21st International Middleware Conference, 105-118, 2020
Efficient Deep Learning Inference Based on Model Compression
Q Zhang, M Zhang, M Wang, W Sui, C Meng, J Yang, W Kong, X Cui, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Large-Scale Parallelization Based on CPU and GPU Cluster for Cosmological Fluid Simulations
C Meng, L Wang, Z Cao, L Feng, W Zhu
Computers & Fluids, 2014
PHoToNs–A parallel heterogeneous and threads oriented code for cosmological N-body simulation
Q Wang, ZY Cao, L Gao, XB Chi, C Meng, J Wang, L Wang
Research in Astronomy and Astrophysics 18 (6), 062, 2018
Acceleration of a High Order Finite-Difference WENO Scheme for Large-Scale Cosmological Simulations on GPU
C Meng, L Wang, Z Cao, X Ye, LL Feng
Proceedings of the 2013 IEEE 27th International Symposium on Parallel and …, 2013
PhotoNs-GPU:A GPU accelerated cosmological simulation code
Q Wang, C Meng
Research in Astronomy and Astrophysics, 2021
基于 Charm++ 运行时环境的异构计算应用容错研究
孟晨, 曹宗雁, 王龙, 迟学斌
计算机工程与应用, 1-7, 2016
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