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Songyun Qu
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2020 – today
- 2024
- [c8]Songyun Qu
, Shixin Zhao
, Bing Li
, Yintao He
, Xuyi Cai
, Lei Zhang
, Ying Wang
:
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. ASPLOS (2) 2024: 185-200 - [c7]Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang:
Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. DATE 2024: 1-6 - [i1]Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang:
CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators. CoRR abs/2401.12428 (2024) - 2023
- [j3]Songyun Qu
, Bing Li
, Shixin Zhao
, Lei Zhang, Ying Wang
:
A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2364-2376 (2023) - [c6]Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han:
ENASA: Towards Edge Neural Architecture Search based on CIM acceleration. DATE 2023: 1-2 - [c5]Kaiwei Zou, Songyun Qu, Wen Li, Ying Wang, Huawei Li, Yongpan Liu:
Communication-aware Quantization for Deep Learning Inference Parallelization on Chiplet-based Accelerators. ICPADS 2023: 1123-1130 - 2022
- [j2]Kaiwei Zou
, Ying Wang
, Long Cheng
, Songyun Qu
, Huawei Li
, Xiaowei Li
:
CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE Trans. Computers 71(7): 1626-1639 (2022) - [j1]Bing Li
, Songyun Qu
, Ying Wang
:
An Automated Quantization Framework for High-Utilization RRAM-Based PIM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 583-596 (2022) - [c4]Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li:
InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs. DAC 2022: 97-102 - [c3]Yuquan He
, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang:
Processing-in-SRAM acceleration for ultra-low power visual 3D perception. DAC 2022: 295-300 - 2021
- [c2]Songyun Qu, Bing Li, Ying Wang, Lei Zhang:
ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator. DAC 2021: 745-750 - 2020
- [c1]Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang:
RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator. DAC 2020: 1-6
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