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Shiqing Fan

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2020 – today

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2024
[c16]
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Hazem Abaza, Debayan Roy, Shiqing Fan, Selma Saidi, Antonios Motakis:
Trace-Enabled Timing Model Synthesis for ROS2-based Autonomous Applications. DATE 2024: 1-6
[i9]
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  - journals/corr/abs-2410-07524
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Ethan He, Abhinav Khattar, Ryan Prenger, Vijay Korthikanti, Zijie Yan, Tong Liu, Shiqing Fan, Ashwath Aithal, Mohammad Shoeybi, Bryan Catanzaro:
Upcycling Large Language Models into Mixture of Experts. CoRR abs/2410.07524 (2024)
2023
[j2]
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Yuri Gil Dantas, Tiziano Munaro, Carmen Cârlan, Vivek Nigam, Simon Barner, Shiqing Fan, Alexander Pretschner, Ulrich Schöpp, Sergey Tverdyshev:
A Toolchain for Synthesizing and Validating Safety Architectures. SN Comput. Sci. 4(4): 335 (2023)
[c15]
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Hazem Abaza, Abhinaba Habishyashi, Debayan Roy, Andrea Bastoni, Zain Alabedin Haj Hammadeh, Shiqing Fan, Selma Saidi, Sergey Tverdyshev:
RDMA-Based Deterministic Communication Architecture for Autonomous Driving. RTCSA 2023: 137-146
[i8]
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  - journals/corr/abs-2311-13333
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Hazem Abaza, Debayan Roy, Shiqing Fan, Selma Saidi, Antonios Motakis:
Trace-enabled Timing Model Synthesis for ROS2-based Autonomous Applications. CoRR abs/2311.13333 (2023)
2022
[j1]
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Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin:
Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. IEEE Trans. Parallel Distributed Syst. 33(12): 4694-4706 (2022)
[c14]
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Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin:
Efficient Pipeline Planning for Expedited Distributed DNN Training. INFOCOM 2022: 340-349
[c13]
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Yuri Gil Dantas, Tiziano Munaro, Carmen Cârlan, Vivek Nigam, Simon Barner, Shiqing Fan, Alexander Pretschner, Ulrich Schöpp, Sergey Tverdyshev:
A Model-based System Engineering Plugin for Safety Architecture Pattern Synthesis. MODELSWARD 2022: 36-47
[i7]
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  - journals/corr/abs-2204-10562
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Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin:
Efficient Pipeline Planning for Expedited Distributed DNN Training. CoRR abs/2204.10562 (2022)
[i6]
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  - journals/corr/abs-2209-12769
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Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin:
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion. CoRR abs/2209.12769 (2022)
2021
[c12]
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  - conf/iccda/FanLL21
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Shiqing Fan, Liying Liu, Ye Luo:
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. ICCDA 2021: 162-168
[c11]
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Shiqing Fan, Ye Luo:
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks. ICDSP 2021: 272-277
[c10]
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Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin:
DAPPLE: a pipelined data parallel approach for training large models. PPoPP 2021: 431-445
[i5]
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  - journals/corr/abs-2102-06358
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Ye Luo, Shiqing Fan:
Min-Max-Plus Neural Networks. CoRR abs/2102.06358 (2021)
[i4]
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  - journals/corr/abs-2103-02096
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Shiqing Fan, Ye Luo:
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks. CoRR abs/2103.02096 (2021)
[i3]
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  - journals/corr/abs-2103-02121
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Shiqing Fan, Ye Luo:
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks. CoRR abs/2103.02121 (2021)
2020
[i2]
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  - journals/corr/abs-2007-01045
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Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin:
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models. CoRR abs/2007.01045 (2020)
[i1]
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  - journals/corr/abs-2007-04069
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Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin:
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. CoRR abs/2007.04069 (2020)

2010 – 2019

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2018
[c9]
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  - conf/icpads/GuFHYH18
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Rong Gu, Shiqing Fan, Qiu Hu, Chunfeng Yuan, Yihua Huang:
Parallelizing Machine Learning Optimization Algorithms on Distributed Data-Parallel Platforms with Parameter Server. ICPADS 2018: 126-133
2017
[c8]
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  - conf/esocc/StruckmannSHCFC17
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Nico Struckmann, Yosandra Sandoval, Nadav Har'El, Fang Chen, Shiqing Fan, Justin Cinkelj, Gregor Berginc, Peter Chronz, Niv Gilboa, Gabriel Scalosub, Kalman Z. Meth, John Kennedy:
MIKELANGELO: MIcro KErneL virtualizAtioN for hiGh pErfOrmance cLOud and HPC Systems. ESOCC Workshops 2017: 175-180
[c7]
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  - conf/hipeac/FanCRHSS17
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Shiqing Fan, Fang Chen, Holm Rauchfuss, Nadav Har'El, Uwe Schilling, Nico Struckmann:
Towards a Lightweight RDMA Para-Virtualization for HPC. COSH/VisorHPC@HiPEAC 2017: 39-44
2015
[c6]
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  - conf/ica3pp/WangFGYH15
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Zhaokang Wang, Shiqing Fan, Rong Gu, Chunfeng Yuan, Yihua Huang:
iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R. ICA3PP (4) 2015: 104-117
2013
[b1]
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  - phd/dnb/Fan13
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Shiqing Fan:
MPI-semantic memory checking tools for parallel applications. University of Stuttgart, 2013
2012
[c5]
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  - conf/haw/KellerF12
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Rainer Keller, Shiqing Fan:
PINstruct - Efficient Memory Access to Data Structures. Facing the Multicore-Challenge 2012: 127-128
[c4]
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Shiqing Fan, Rainer Keller, Michael M. Resch:
Advanced Memory Checking for MPI Parallel Applications Using MemPin. Parallel Tools Workshop 2012: 39-53
2011
[c3]
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Shiqing Fan, Rainer Keller, Michael M. Resch:
Advanced Memory Checking Frameworks for MPI Parallel Applications in Open MPI. Parallel Tools Workshop 2011: 63-78

2000 – 2009

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2008
[c2]
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Shiqing Fan, Rainer Keller, Michael M. Resch:
Enhanced Memory debugging of MPI-parallel Applications in Open MPI. Parallel Tools Workshop 2008: 49-60
2007
[c1]
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  - conf/parco/KellerFR07
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Rainer Keller, Shiqing Fan, Michael M. Resch:
Memory Debugging of MPI-Parallel Applications in Open MPI. PARCO 2007: 517-523

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