Runbin Shi

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 23

Top Topics

High Scalability

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
Co-design Hardware and Algorithm for Vector Search. SC (2023)
Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
Co-design Hardware and Algorithm for Vector Search. CoRR (2023)
Runbin Shi, Kaan Kara, Christoph Hagleitner, Dionysios Diamantopoulos, Dimitris Syrivelis, Gustavo Alonso
Exploiting HBM on FPGAs for Data Processing. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Abishek Ramdas, Michael Giardino, Runbin Shi, Adam Turowski, David Cock, Gustavo Alonso, Timothy Roscoe
ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures. CoRR (2022)
Tong Jian, Yifan Gong, Zheng Zhan, Runbin Shi, Nasim Soltani, Zifeng Wang, Jennifer G. Dy, Kaushik R. Chowdhury, Yanzhi Wang, Stratis Ioannidis
Radio Frequency Fingerprinting on the Edge. IEEE Trans. Mob. Comput. 21 (11) (2022)
Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. IEEE Trans. Parallel Distributed Syst. 32 (1) (2021)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA (2021)
He Li, Ameer Abdelhadi, Runbin Shi, Jiliang Zhang, Qiang Liu
Adversarial Hardware With Functional and Topological Camouflage. IEEE Trans. Circuits Syst. II Express Briefs 68 (5) (2021)
Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden Kwok-Hay So
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. ICLR (2020)
Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. MICRO (2020)
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. CoRR (2020)
Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden Kwok-Hay So
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. CoRR (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden Kwok-Hay So, Xuehai Qian, Yanzhi Wang, Xue Lin
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. CoRR (2020)
Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding
FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. DAC (2020)
Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding
FTDL: An FPGA-tailored Architecture for Deep Learning Systems. FPGA (2020)
Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. ICS (2020)
Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR (2020)
Runbin Shi, Justin S. J. Wong, Hayden Kwok-Hay So
High-Throughput Line Buffer Microarchitecture for Arbitrary Sized Streaming Image Processing. J. Imaging 5 (3) (2019)
Runbin Shi, Junjie Liu, Hayden Kwok-Hay So, Shuo Wang, Yun Liang
E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System. DAC (2019)
Runbin Shi, Justin S. J. Wong, Edmund Y. Lam, Kevin K. Tsia, Hayden Kwok-Hay So
A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy. IEEE Trans. Biomed. Circuits Syst. 13 (4) (2019)
Justin S. J. Wong, Runbin Shi, Maolin Wang, Hayden Kwok-Hay So
Ultra-low latency continuous block-parallel stream windowing using FPGA on-chip memory. FPT (2017)
Zheng Xu, Runbin Shi, Zhihao Sun, Yaqi Li, Yuanjia Zhao, Chenjian Wu
A Heterogeneous System for Real-Time Detection with AdaBoost. HPCC/SmartCity/DSS (2016)
Maurice Peemen, Runbin Shi, Sohan Lal, Ben H. H. Juurlink, Bart Mesman, Henk Corporaal
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision. DATE (2016)
Runbin Shi, Zheng Xu, Zhihao Sun, Maurice Peemen, Ang Li, Henk Corporaal, Di Wu
A Locality Aware Convolutional Neural Networks Accelerator. DSD (2015)
Xiaoying Qiu, Leilei Miao, Runbin Shi, Zhiwei Wang, Liang Liu, Di Wu
A programmable baseband processor for massive MIMO uplink multi-user detection. ASICON (2015)