Junmin Xiao

According to our database, Junmin Xiao authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting Fine-Grained Redundancy in Set-Centric Graph Pattern Mining.

Zhiheng Lin, Ke Meng, Chaoyang Shui, Kewei Zhang, Junmin Xiao, Guangming Tan

Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024

A Coordinated Strategy for GNN Combining Computational Graph and Operator Optimizations.

Mingyi Li, Junmin Xiao, Kewei Zhang, Zhiheng Lin, Chaoyang Shui, Ke Meng, Zehua Wang, Yunfei Pang, Guangming Tan

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023

Accelerating k-Shape Time Series Clustering Algorithm Using GPU.

Xun Wang, Ruibao Song, Junmin Xiao, Tong Li, Xueqi Li

IEEE Trans. Parallel Distributed Syst., October, 2023

SI on parallel system and algorithm optimization.

Liang Yuan, Junmin Xiao

CCF Trans. High Perform. Comput., September, 2023

AGCM-3DLF: Accelerating Atmospheric General Circulation Model via 3-D Parallelization and Leap-Format.

Hang Cao, Liang Yuan, He Zhang, Yunquan Zhang, Baodong Wu, Kun Li, Shigang Li, Minghua Zhang, Pengqi Lu, Junmin Xiao

IEEE Trans. Parallel Distributed Syst., March, 2023

Adaptive Workload-Balanced Scheduling Strategy for Global Ocean Data Assimilation on Massive GPUs.

Junmin Xiao, Chaoyang Shui, Di Cai, Kangyu Wang, Yunfei Pang, Mingyi Li, Hui Ma, Guangming Tan

Proceedings of the International Conference for High Performance Computing, 2023

GraphPar: Efficient Workload-Aware Subgraph Matching System on Multiple GPUs.

Kewei Zhang, Junmin Xiao, Zhiheng Lin, Ke Meng, Chaoyang Shui, Mingyi Li, Guangming Tan

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Fast and accurate variable batch size convolution neural network training on large scale distributed systems.

Zhongzhe Hu, Junmin Xiao, Ninghui Sun, Guangming Tan

Concurr. Comput. Pract. Exp., 2022

W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs.

Junmin Xiao, Yunfei Pang, Qing Xue, Chaoyang Shui, Ke Meng, Hui Ma, Mingyi Li, Xiaoyang Zhang, Guangming Tan

Proceedings of the SC22: International Conference for High Performance Computing, 2022

A W-cycle algorithm for efficient batched SVD on GPUs.

Junmin Xiao, Qing Xue, Hui Ma, Xiaoyang Zhang, Guangming Tan

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

MegTaiChi: dynamic tensor-based memory management optimization for DNN training.

Zhongzhe Hu, Junmin Xiao, Zheye Deng, Mingyi Li, Kewei Zhang, Xiaoyang Zhang, Ke Meng, Ninghui Sun, Guangming Tan

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021

I/O lower bounds for auto-tuning of convolutions in CNNs.

Xiaoyang Zhang, Junmin Xiao, Guangming Tan

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2020

Fast Data-Obtaining Algorithm for Data Assimilation with Large Data Set.

Junmin Xiao, Guizhao Zhang, Yanan Gao, Xuehai Hong, Guangming Tan

Int. J. Parallel Program., 2020

Communication Lower Bounds of Convolutions in CNNs.

Xiaoyang Zhang, Junmin Xiao, Guangming Tan

Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

2019

Trade-offs between computation, communication, and synchronization in stencil-collective alternate update.

Junmin Xiao, Jian Peng

CCF Trans. High Perform. Comput., 2019

S-EnKF: co-designing for scalable ensemble Kalman filter.

Junmin Xiao, Shijie Wang, Weiqiang Wan, Xuehai Hong, Guangming Tan

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Tensor Layout Optimization of Convolution for Inference on Digital Signal Processor.

Xiaoyang Zhang, Junmin Xiao, Xiaobin Zhang, Zhongzhe Hu, Hongrui Zhu, Zhongbo Tian, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

A Variable Batch Size Strategy for Large Scale Distributed DNN Training.

Zhongzhe Hu, Junmin Xiao, Zhongbo Tian, Xiaoyang Zhang, Hongrui Zhu, Chengji Yao, Ninghui Sun, Guangming Tan

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018

Communication-Avoiding for Dynamical Core of Atmospheric General Circulation Model.

Junmin Xiao, Shigang Li, Baodong Wu, He Zhang, Kun Li, Erlin Yao, Yunquan Zhang, Guangming Tan

Proceedings of the 47th International Conference on Parallel Processing, 2018

AGCM3D: A Highly Scalable Finite-Difference Dynamical Core of Atmospheric General Circulation Model Based on 3D Decomposition.

Baodong Wu, Shigang Li, Hang Cao, Yunquan Zhang, He Zhang, Junmin Xiao, Minghua Zhang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

2013

Multilevel correction for collocation solutions of Volterra integral equations with proportional delays.

Junmin Xiao, Qiya Hu

Adv. Comput. Math., 2013