Jiarui Fang (方佳瑞)
Jiarui Fang (方佳瑞)
Patvirtintas el. paštas - Pagrindinis puslapis
Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data
W Li, C He, J Fang, J Zheng, H Fu, L Yu
Remote Sensing 11 (4), 403, 2019
Turbotransformers: an efficient gpu serving system for transformer models
J Fang, Y Yu, C Zhao, J Zhou
Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of …, 2021
swdnn: A library for accelerating deep learning applications on sunway taihulight
J Fang, H Fu, W Zhao, B Chen, W Zheng, G Yang
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
Colossal-ai: A unified deep learning system for large-scale parallel training
S Li, H Liu, Z Bian, J Fang, H Huang, Y Liu, B Wang, Y You
Proceedings of the 52nd International Conference on Parallel Processing, 766-775, 2023
Semantic segmentation based building extraction method using multi-source gis map datasets and satellite imagery
W Li, C He, J Fang, H Fu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer
H Fu, J Liao, W Xue, L Wang, D Chen, L Gu, J Xu, N Ding, X Wang, C He, ...
SC'16: Proceedings of the International Conference for High Performance …, 2016
swcaffe: A parallel framework for accelerating deep learning applications on sunway taihulight
L Li, J Fang, H Fu, J Jiang, W Zhao, C He, X You, G Yang
2018 IEEE International Conference on Cluster Computing (CLUSTER), 413-422, 2018
A parallel finite-element time-domain method for transient electromagnetic simulation
H Fu, Y Wang, ES Um, J Fang, T Wei, X Huang, G Yang
Geophysics 80 (4), E213-E224, 2015
RedSync: reducing synchronization bandwidth for distributed deep learning training system
J Fang, H Fu, G Yang, CJ Hsieh
Journal of Parallel and Distributed Computing 133, 30-39, 2019
Optimizing convolutional neural networks on the sunway taihulight supercomputer
W Zhao, H Fu, J Fang, W Zheng, L Gan, G Yang
ACM Transactions on Architecture and Code Optimization (TACO) 15 (1), 1-26, 2018
Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management
J Fang, Z Zhu, S Li, H Su, Y Yu, J Zhou, Y You
IEEE Transactions on Parallel and Distributed Systems 34 (1), 304-315, 2022
Fastfold: Reducing alphafold training time from 11 days to 67 hours
S Cheng, X Zhao, G Lu, J Fang, Z Yu, T Zheng, R Wu, X Zhang, J Peng, ...
arXiv preprint arXiv:2203.00854, 2022
Parallel multiclass support vector machine for remote sensing data classification on multicore and many-core architectures
W Li, H Fu, Y You, L Yu, J Fang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Rocbert: Robust chinese bert with multimodal contrastive pretraining
H Su, W Shi, X Shen, Z Xiao, T Ji, J Fang, J Zhou
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
A dynamic agricultural prediction system for large-scale drought assessment on the Sunway TaihuLight supercomputer
X Huang, C Yu, J Fang, G Huang, S Ni, J Hall, C Zorn, X Huang, W Zhang
Computers and electronics in agriculture 154, 400-410, 2018
Efficient AES implementation on Sunway TaihuLight supercomputer: A systematic approach
L Li, J Fang, J Jiang, L Gan, W Zheng, H Fu, G Yang
Journal of Parallel and Distributed Computing 138, 178-189, 2020
SW-AES: accelerating AES algorithm on the sunway taihulight
L Li, J Fang, J Jiang, L Gan, W Zheng, H Fu, G Yang
2017 IEEE International Symposium on Parallel and Distributed Processing …, 2017
Optimizing complex spatially-variant coefficient stencils for seismic modeling on GPU
J Fang, H Fu, H Zhang, W Wu, N Dai, L Gan, G Yang
2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
J Du, Z Liu, J Fang, S Li, Y Li, Y Lu, Y You
arXiv preprint arXiv:2209.02341, 2022
A Frequency-aware Software Cache for Large Recommendation System Embeddings
J Fang, G Zhang, J Han, S Li, Z Bian, Y Li, J Liu, Y You
arXiv preprint arXiv:2208.05321, 2022
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