Beilei Jiang

According to our database, Beilei Jiang authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

Output-Directed Dynamic Quantization for DNN Acceleration.

Beilei Jiang, Xianwei Cheng, Yuan Li, Jocelyn Zhang, Song Fu, Qing Yang, Mingxiong Liu, Alejandro Olvera

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Characterizing Job-Task Dependency in Cloud Workloads Using Graph Learning.

Zhaochen Gu, Sihai Tang, Beilei Jiang, Song Huang, Qiang Guan, Song Fu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing.

Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Saraju P. Mohanty, Beilei Jiang

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

AMOEBA: a coarse grained reconfigurable architecture for dynamic GPU scaling.

Xianwei Cheng, Hui Zhao, Mahmut T. Kandemir, Beilei Jiang, Gayatri Mehta

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

A Low-Cost and Energy-Efficient NoC Architecture for GPGPUs.

Xianwei Cheng, Yang Zhao, Mohammadreza Robaei, Beilei Jiang, Hui Zhao, Juan Fang

Proceedings of the 2019 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, 2019