Yuhao Liu |
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Phone Fax Visitor's Address |
+49 (0)351 463-43731 +49 (0)351 463-39995 Helmholtzstrasse 18, BAR-III78 |
Yuhao Liu is a research assistant. He obtained his B.Sc. degree in Electronic and Information Engineering from Zhengzhou University in China and his M.Sc. degree in Embedded System Engineering from the University of Duisburg-Essen in Germany. His current research interest is the implementation of FPGA-based Neural Network Accelerators.
LinkedIn: http://www.linkedin.com/in/yuhao-liu-horizon776
Publications
2024
- 4. Yuhao Liu, Salim Ullah, Akash Kumar, "BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators" (to appear), In Proceeding: 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 1-2, 2024. [Bibtex & Downloads]
BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators
×Reference
Yuhao Liu, Salim Ullah, Akash Kumar, "BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators" (to appear), In Proceeding: 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 1-2, 2024.
Bibtex
@INPROCEEDINGS{BitSys_FCCM_Poster,
author={Liu, Yuhao and Ullah, Salim and Kumar, Akash},
booktitle={2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)},
title={BitSys: Bitwise Systolic Array Architecture for Multi-precision Quantized Hardware Accelerators},
year={2024},
volume={},
number={},
pages={1-2},
doi={}}Downloads
FCCM_Poster_Final_3 [PDF]
Permalink
2023
- 3. Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "High Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers", In IEEE Embedded Systems Letters, pp. 1-1, 2023. [doi] [Bibtex & Downloads]
High Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers
×Reference
Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "High Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers", In IEEE Embedded Systems Letters, pp. 1-1, 2023. [doi]
Bibtex
@ARTICLE{10261986,
author={Liu, Yuhao and Rai, Shubham and Ullah, Salim and Kumar, Akash},
journal={IEEE Embedded Systems Letters},
title={High Flexibility Designs of Quantized Runtime Reconfigurable Multi-Precision Multipliers},
year={2023},
volume={},
number={},
pages={1-1},
doi={10.1109/LES.2023.3298736}}Downloads
ESL_LB_CASES_2023 Camera ready [PDF]
Permalink
- 2. Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs", In Proceeding: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 85-92, 2023. [doi] [Bibtex & Downloads]
NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs
×Reference
Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs", In Proceeding: 2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 85-92, 2023. [doi]
Bibtex
@INPROCEEDINGS{10196610,
author={Liu, Yuhao and Rai, Shubham and Ullah, Salim and Kumar, Akash},
booktitle={2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
title={NetPU-M: a Generic Reconfigurable Neural Network Accelerator Architecture for MLPs},
year={2023},
volume={},
number={},
pages={85-92},
doi={10.1109/IPDPSW59300.2023.00026}}Downloads
RAW2023-NetPU-M [PDF]
Permalink
2022
- 1. Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture", In Proceeding: 2022 International Conference on Field-Programmable Technology (ICFPT), pp. 1-1, Dec 2022. [doi] [Bibtex & Downloads]
NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture
×Reference
Yuhao Liu, Shubham Rai, Salim Ullah, Akash Kumar, "NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture", In Proceeding: 2022 International Conference on Field-Programmable Technology (ICFPT), pp. 1-1, Dec 2022. [doi]
Bibtex
@INPROCEEDINGS{9974206,
author={Liu, Yuhao and Rai, Shubham and Ullah, Salim and Kumar, Akash},
booktitle={2022 International Conference on Field-Programmable Technology (ICFPT)},
title={NetPU: Prototyping a Generic Reconfigurable Neural Network Accelerator Architecture},
year={2022},
month = {dec},
pages={1-1},
doi={10.1109/ICFPT56656.2022.9974206}}Downloads
NetPU_Prototyping_a_Generic_Reconfigurable_Neural_Network_Accelerator_Architecture [PDF]
Permalink