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Runbin Shi
Runbin Shi
在 microsoft.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
AWB-GCN: A graph convolutional network accelerator with runtime workload rebalancing
T Geng, A Li, R Shi, C Wu, T Wang, Y Li, P Haghi, A Tumeo, S Che, ...
2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020
2882020
Dynamic sparse training: Find efficient sparse network from scratch with trainable masked layers
J Liu, Z Xu, R Shi, RCC Cheung, HKH So
arXiv preprint arXiv:2005.06870, 2020
1342020
Mix and match: A novel fpga-centric deep neural network quantization framework
SE Chang, Y Li, M Sun, R Shi, HKH So, X Qian, Y Wang, X Lin
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
1092021
Radio frequency fingerprinting on the edge
T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ...
IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021
532021
O3BNN-R: An out-of-order architecture for high-performance and regularized BNN inference
T Geng, A Li, T Wang, C Wu, Y Li, R Shi, W Wu, M Herbordt
IEEE Transactions on parallel and distributed systems 32 (1), 199-213, 2020
412020
E-LSTM: Efficient inference of sparse LSTM on embedded heterogeneous system
R Shi, J Liu, HKH So, S Wang, Y Liang
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
262019
CSB-RNN: A faster-than-realtime rnn acceleration framework with compressed structured blocks
R Shi, P Dong, T Geng, Y Ding, X Ma, HKH So, M Herbordt, A Li, Y Wang
Proceedings of the 34th ACM International Conference on Supercomputing, 1-12, 2020
242020
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision
M Peemen, R Shi, S Lal, B Juurlink, B Mesman, H Corporaal
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2016
232016
FTDL: a tailored FPGA-overlay for deep learning with high scalability
R Shi, Y Ding, X Wei, H Li, H Liu, HKH So, C Ding
2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020
21*2020
Co-design hardware and algorithm for vector search
W Jiang, S Li, Y Zhu, J de Fine Licht, Z He, R Shi, C Renggli, S Zhang, ...
Proceedings of the International Conference for High Performance Computing …, 2023
172023
Exploiting HBM on FPGAs for data processing
R Shi, K Kara, C Hagleitner, D Diamantopoulos, D Syrivelis, G Alonso
ACM Transactions on Reconfigurable Technology and Systems 15 (4), 1-27, 2022
132022
A locality aware convolutional neural networks accelerator
R Shi, Z Xu, Z Sun, M Peemen, A Li, H Corporaal, D Wu
2015 Euromicro Conference on Digital System Design, 591-598, 2015
112015
MSP: an FPGA-specific mixed-scheme, multi-precision deep neural network quantization framework
SE Chang, Y Li, M Sun, W Jiang, R Shi, X Lin, Y Wang
arXiv preprint arXiv:2009.07460, 2020
102020
High-throughput line buffer microarchitecture for arbitrary sized streaming image processing
R Shi, JSJ Wong, HKH So
Journal of Imaging 5 (3), 34, 2019
82019
A heterogeneous system for real-time detection with AdaBoost
Z Xu, R Shi, Z Sun, Y Li, Y Zhao, C Wu
2016 IEEE 18th International Conference on High Performance Computing and …, 2016
62016
Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory
JSJ Wong, R Shi, M Wang, HKH So
2017 International Conference on Field Programmable Technology (ICFPT), 56-63, 2017
42017
Image super-resolution for ultrafast optical time-stretch imaging
R Shi, AC Chan, EY Lam, HKH So
24th Congress of the International Commission for Optics (ICO), W1F-08, 2017
42017
A real-time coprime line scan super-resolution system for ultra-fast microscopy
R Shi, JSJ Wong, EY Lam, KK Tsia, HKH So
IEEE transactions on biomedical circuits and systems 13 (4), 781-792, 2019
22019
ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures
A Ramdas, M Giardino, R Shi, A Turowski, D Cock, G Alonso, T Roscoe
arXiv preprint arXiv:2208.07124, 2022
12022
Domain-specific FPGA overlay: an architecture-compilation co-design methodology
R Shi
HKU Theses Online (HKUTO), 2020
2020
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