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2020 – today
- 2024
[c20]Tongzhou Gu
, Jiawei Fei, Marco Canini:
OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. NAIC 2024: 75-83- 2023
- [c19]Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis:
SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML 2023: 38801-38825 - 2022
- [c18]Yasong Cao, Mei Wen, Junzhong Shen, Sheng Liu, Zhi Wang, Minjin Tang, Yahao Fang, Jianchao Yang, Renyu Yang, Yuhan Kang, Jiawei Fei:
MZ Core: An Enhanced Matrix Acceleration Engine for HPC/ AI Applications. HPCC/DSS/SmartCity/DependSys 2022: 126-134 - [c17]Jianchao Yang, Mei Wen, Junzhong Shen, Yasong Cao, Minjin Tang, Renyu Yang, Jiawei Fei, Chunyuan Zhang:
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. ICCD 2022: 415-418 - [c16]Shengyin Zang, Jiawei Fei, Xiaodong Ren, Yan Wang, Zhuang Cao, Jiagui Wu:
A Smartnic-Based Secure Aggregation Scheme for Federated Learning. ICCEIC 2022: 81-89 - [c15]Minjin Tang, Mei Wen, Yasong Cao, Junzhong Shen, Jianchao Yang, Jiawei Fei, Yang Guo, Sheng Liu:
Mentha: Enabling Sparse-Packing Computation on Systolic Arrays. ICPP 2022: 18:1-18:11 - [c14]Yuhang Li, Mei Wen, Jiawei Fei, Junzhong Shen, Yasong Cao:
TILE-SIM: A Systematic Approach to Systolic Array-based Accelerator Evaluation. ISPASS 2022: 141-143 - [c13]Yifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Amedeo Sapio, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. NSDI 2022: 683-700 - [i3]Jianchao Yang, Mei Wen, Junzhong Shen, Yasong Cao, Minjin Tang, Renyu Yang, Jiawei Fei, Chunyuan Zhang:
BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. CoRR abs/2209.09434 (2022) - 2021
- [c12]Sijiang Fan, Jiawei Fei, Xiaowei Guo, Canqun Yang, Alistair Revell:
CNN+LSTM Accelerated Turbulent Flow Simulation with Link-Wise Artificial Compressibility Method. ICPP 2021: 38:1-38:10 - [c11]Jiawei Fei, Chen-Yu Ho, Atal Narayan Sahu, Marco Canini, Amedeo Sapio:
Efficient sparse collective communication and its application to accelerate distributed deep learning. SIGCOMM 2021: 676-691 - [i2]Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. CoRR abs/2112.06095 (2021)
2010 – 2019
- 2019
- [j2]Yang Shi, Jiawei Fei, Mei Wen, Chunyuan Zhang:
Application-Oriented Network Scheduling With Metaflow. IEEE Access 7: 175531-175541 (2019) - [c10]Yang Shi, Jiawei Fei, Mei Wen, Qun Huang, Nan Wu:
Metaflow: A Better Traffic Abstraction for Distributed Applications. HPCC/SmartCity/DSS 2019: 1123-1130 - [c9]Jiawei Fei, Yang Shi, Mei Wen, Chunyuan Zhang:
SACC: Configuring Application-Level Cache Intelligently for In-Memory Database Based on Long Short-Term Memory. HPCC/SmartCity/DSS 2019: 1350-1357 - [c8]Yang Shi, Jiawei Fei, Mei Wen, Chunyuan Zhang:
KVSwitch: An In-network Load Balancer for Key-Value Stores. ISCC 2019: 1-7 - [i1]Jiawei Fei, Yang Shi, Qun Huang, Mei Wen:
Metaflow: A DAG-Based Network Abstraction for Distributed Applications. CoRR abs/1901.05571 (2019) - 2018
- [j1]Sijiang Fan, Jiawei Fei, Li Shen:
Accelerating Deep Learning with a Parallel Mechanism Using CPU + MIC. Int. J. Parallel Program. 46(4): 660-673 (2018) - 2017
- [c7]Jiawei Fei, Yiping Yao, Feng Zhu:
A Model Description Transformation Tool: From Platform-Specific to Platform-Independent. ICMSS 2017: 19-24 - [c6]Feng Yao, Yiping Yao, Sirui Bao, Dong Meng, Jiawei Fei, Tianlin Li:
Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud. ISCID (2) 2017: 17-21 - [c5]Sijiang Fan, Jiawei Fei, Ximing He, Li Shen, Zhiying Wang:
OTR: A Fine-Grained Dynamic Power Scaling Pipeline Based on Trace. ISPA/IUCC 2017: 275-281 - [c4]Sijiang Fan, Shiqing Zhang, Ximing He, Jiawei Fei, Li Shen, Zhiying Wang:
Parallel Computing in DNNs Using CPU and MIC. ISPA/IUCC 2017: 646-652 - [c3]Lufan Li, Jun Zhang, Jiawei Fei, Shuohao Li:
An incremental face recognition system based on deep learning. MVA 2017: 238-241 - [c2]Yingqian Bao, Qingjun Qu, Yiping Yao, Jiawei Fei, Miao Zhang:
A Reusable Behavior Modeling Method Based on Atom Action and Atom Condition. SimuTools 2017: 20-25 - [c1]Jiawei Fei, Yiping Yao, Jing Luan, Lufan Li, Yingqian Bao:
A Fine-grained Parallel Approach for one Logical Process on Multi-core Machines. SimuTools 2017: 26-31
Coauthor Index
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