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2020 – today
- 2023
[c7]Beilei Jiang
, Xianwei Cheng, Yuan Li, Jocelyn Zhang, Song Fu, Qing Yang, Mingxiong Liu, Alejandro Olvera:
Output-Directed Dynamic Quantization for DNN Acceleration. ICPP 2023: 645-654- 2022
- [c6]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu:
MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. IPDPS 2022: 1184-1194 - 2021
- [c5]Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu:
APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. FPGA 2021: 146-147 - [c4]Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu:
Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning. IPDPS Workshops 2021: 288-297 - 2020
- [c3]Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Beilei Jiang, Gayatri Mehta:
AMOEBA: a coarse grained reconfigurable architecture for dynamic GPU scaling. ICS 2020: 17:1-17:13 - [c2]Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Saraju P. Mohanty, Beilei Jiang:
Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing. ISQED 2020: 261-267
2010 – 2019
- 2019
- [c1]Xianwei Cheng, Yang Zhao, Mohammadreza Robaei, Beilei Jiang, Hui Zhao, Juan Fang:
A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs. ANCS 2019: 1-12 - [i2]Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Saraju P. Mohanty, Beilei Jiang:
Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing. CoRR abs/1910.07055 (2019) - [i1]Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Beilei Jiang, Gayatri Mehta:
AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling. CoRR abs/1911.03364 (2019)
Coauthor Index
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