Yijin Guan
Yijin Guan
Computing Technology Lab, Alibaba DAMO Academy
在 alibaba-inc.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Optimizing fpga-based accelerator design for deep convolutional neural networks
C Zhang, P Li, G Sun, Y Guan, B Xiao, J Cong
Proceedings of the 2015 ACM/SIGDA international symposium on field …, 2015
15932015
FP-DNN: An automated framework for mapping deep neural networks onto FPGAs with RTL-HLS hybrid templates
Y Guan, H Liang, N Xu, W Wang, S Shi, X Chen, G Sun, W Zhang, J Cong
2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017
1982017
FPGA-based accelerator for long short-term memory recurrent neural networks
Y Guan, Z Yuan, G Sun, J Cong
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 629-634, 2017
1402017
Using data compression for optimizing FPGA-based convolutional neural network accelerators
Y Guan, N Xu, C Zhang, Z Yuan, J Cong
International workshop on advanced parallel processing technologies, 14-26, 2017
32017
GNN-PIM: A Processing-in-Memory Architecture for Graph Neural Networks
Z Wang, Y Guan, G Sun, D Niu, Y Wang, H Zheng, Y Han
Conference on Advanced Computer Architecture, 73-86, 2020
22020
Crane: Mitigating accelerator under-utilization caused by sparsity irregularities in CNNs
Y Guan, G Sun, Z Yuan, X Li, N Xu, S Chen, J Cong, Y Xie
IEEE Transactions on Computers 69 (7), 931-943, 2020
22020
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices
Z Zhou, B Shi, Z Zhang, Y Guan, G Sun, G Luo
arXiv preprint arXiv:2104.06214, 2021
2021
系统目前无法执行此操作,请稍后再试。
文章 1–7