E-LIB Suche - Ergebnisse für: Guan, Tianchan

1

Predicting the Output Structure of Sparse Matrix Multiplica..:

, In: 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS),

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan... - p. 483-490 , 2023

2

Accelerating Distributed GNN Training by Codes:

Wang, Yanhong ; Guan, Tianchan ; Niu, Dimin...
IEEE Transactions on Parallel and Distributed Systems. 34 (2023) 9 - p. 2598-2614 , 2023

Link: https://doi.org/10.1109/..

3

COMB-MCM: Computing-on-Memory-Boundary NN Processor with Bi..:

, In: 2022 IEEE International Solid- State Circuits Conference (ISSCC),

Zhu, Haozhe ; Jiao, Bo ; Zhang, Jinshan... - p. 1-3 , 2022

Link: https://doi.org/10.1109/..

4

184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Proce..:

, In: 2022 IEEE International Solid- State Circuits Conference (ISSCC),

Niu, Dimin ; Li, Shuangchen ; Wang, Yuhao... - p. 1-3 , 2022

Link: https://doi.org/10.1109/..

5

OpSparse: A Highly Optimized Framework for Sparse General M..:

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan...
IEEE Access. 10 (2022) - p. 85960-85974 , 2022

Link: https://doi.org/10.1109/..

6

Accelerating CPU-Based Sparse General Matrix Multiplication..:

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan...
IEEE Access. 10 (2022) - p. 79237-79248 , 2022

Link: https://doi.org/10.1109/..

7

Enabling High-Quality Uncertainty Quantification in a PIM D..:

, In: 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA),

Li, Xingchen ; Wu, Bingzhe ; Sun, Guangyu... - p. 1043-1055 , 2022

Link: https://doi.org/10.1109/..

8

Hyperscale FPGA-as-a-service architecture for large-scale d..:

, In: Proceedings of the 49th Annual International Symposium on Computer Architecture,

Li, Shuangchen ; Niu, Dimin ; Wang, Yuhao... - p. 946-961 , 2022

Link: https://dl.acm.org/doi/1..

9

Recursive Synaptic Bit Reuse: An Efficient Way to Increase ..:

Guan, Tianchan ; Zeng, Xiaoyang ; Seok, Mingoo
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27 (2019) 4 - p. 757-768 , 2019

Link: https://doi.org/10.1109/..

10

OpSparse: a Highly Optimized Framework for Sparse General M..:

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan...
http://arxiv.org/abs/2206.07244. , 2022

Link: http://arxiv.org/abs/220..

11

Accelerating CPU-Based Sparse General Matrix Multiplication..:

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan...
http://arxiv.org/abs/2206.06611. , 2022

Link: http://arxiv.org/abs/220..

12

Predicting the Output Structure of Sparse Matrix Multiplica..:

Du, Zhaoyang ; Guan, Yijin ; Guan, Tianchan...
http://arxiv.org/abs/2207.13848. , 2022

Link: http://arxiv.org/abs/220..

13

Recursive Binary Neural Network Learning Model with 2.28b/W..:

Guan, Tianchan ; Zeng, Xiaoyang ; Seok, Mingoo
http://arxiv.org/abs/1709.05306. , 2017

Link: http://arxiv.org/abs/170..

14

OpSparse: A Highly Optimized Framework for Sparse General M..:

Zhaoyang Du ; Yijin Guan ; Tianchan Guan...
https://ieeexplore.ieee.org/document/9851653/. , 2022

Link: https://doi.org/10.1109/..

15

Accelerating CPU-Based Sparse General Matrix Multiplication..:

Zhaoyang Du ; Yijin Guan ; Tianchan Guan...
https://ieeexplore.ieee.org/document/9840346/. , 2022

Link: https://doi.org/10.1109/..