Songyun Qu

According to our database, Songyun Qu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bit-Trimmer: Ineffectual Bit-Operation Removal for CLM Architecture.

Yintao He, Shixin Zhao, Songyun Qu, Huawei Li, Xiaowei Li, Ying Wang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators.

Songyun Qu, Shixin Zhao, Bing Li, Yintao He, Xuyi Cai, Lei Zhang, Ying Wang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators.

Songyun Qu, Bing Li, Shixin Zhao, Lei Zhang, Ying Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

Communication-aware Quantization for Deep Learning Inference Parallelization on Chiplet-based Accelerators.

Kaiwei Zou, Songyun Qu, Wen Li, Ying Wang, Huawei Li, Yongpan Liu

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

ENASA: Towards Edge Neural Architecture Search based on CIM acceleration.

Shixin Zhao, Songyun Qu, Ying Wang, Yinhe Han

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

An Automated Quantization Framework for High-Utilization RRAM-Based PIM.

Bing Li, Songyun Qu, Ying Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

CAP: Communication-Aware Automated Parallelization for Deep Learning Inference on CMP Architectures.

Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li

IEEE Trans. Computers, 2022

Processing-in-SRAM acceleration for ultra-low power visual 3D perception.

Yuquan He, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

InfoX: an energy-efficient ReRAM accelerator design with information-lossless low-bit ADCs.

Yintao He, Songyun Qu, Ying Wang, Bing Li, Huawei Li, Xiaowei Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

ASBP: Automatic Structured Bit-Pruning for RRAM-based NN Accelerator.

Songyun Qu, Bing Li, Ying Wang, Lei Zhang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

RaQu: An automatic high-utilization CNN quantization and mapping framework for general-purpose RRAM Accelerator.

Songyun Qu, Bing Li, Ying Wang, Dawen Xu, Xiandong Zhao, Lei Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020