Songyun Qu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Neural Architecture

Restricted Boltzmann Machine

Effective Pruning

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

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 (2024)
Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang
Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture. DATE (2024)
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)
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)
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) (2023)
Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han
ENASA: Towards Edge Neural Architecture Search based on CIM acceleration. DATE (2023)
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) (2022)
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) (2022)
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)
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)
Songyun Qu, Bing Li, Ying Wang, Lei Zhang
ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator. DAC (2021)
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)