Xianzhi Yu

According to our database, Xianzhi Yu authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

LO-SpMM: Low-cost Search for High-performance SpMM Kernels on GPUs.

Junqing Lin, Jingwei Sun, Xiaolong Shi, Honghe Zhang, Xianzhi Yu, Xinzhi Wang, Jun Yao, Guangzhong Sun

ACM Trans. Archit. Code Optim., December, 2024

FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers.

Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu

CoRR, 2024

FastAttention: Extend FlashAttention2 to NPUs and Low-resource GPUs.

Haoran Lin, Xianzhi Yu, Kang Zhao, Lu Hou, Zongyuan Zhan, Stanislav Kamenev, Han Bao, Ting Hu, Mingkai Wang, Qixin Chang, Siyue Sui, Weihao Sun, Jiaxin Hu, Jun Yao, Zekun Yin, Cheng Qian, Ying Zhang, Yinfei Pan, Yu Yang, Weiguo Liu

CoRR, 2024

FlatQuant: Flatness Matters for LLM Quantization.

Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

CoRR, 2024

2023

EC-SpMM: Efficient Compilation of SpMM Kernel on GPUs.

Junqing Lin, Honghe Zhang, Xiaolong Shi, Jingwei Sun, Xianzhi Yu, Jun Yao, Guangzhong Sun

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

An Application-oblivious Memory Scheduling System for DNN Accelerators.

Jiansong Li, Xueying Wang, Xiaobing Chen, Guangli Li, Xiao Dong, Peng Zhao, Xianzhi Yu, Yongxin Yang, Wei Cao, Lei Liu, Xiaobing Feng

ACM Trans. Archit. Code Optim., 2022

HW-TSC's Submission for the WMT22 Efficiency Task.

Hengchao Shang, Ting Hu, Daimeng Wei, Zongyao Li, Xianzhi Yu, Jianfei Feng, Ting Zhu, Lizhi Lei, Shimin Tao, Hao Yang, Ying Qin, Jinlong Yang, Zhiqiang Rao, Zhengzhe Yu

Proceedings of the Seventh Conference on Machine Translation, 2022

Accelerating Sparse Convolution with Column Vector-Wise Sparsity.

Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimizing the LINPACK Algorithm for Large-Scale PCIe-Based CPU-GPU Heterogeneous Systems.

Guangming Tan, Chaoyang Shui, Yinshan Wang, Xianzhi Yu, Yujin Yan

IEEE Trans. Parallel Distributed Syst., 2021

Pinpointing the Memory Behaviors of DNN Training.

Jiansong Li, Xiao Dong, Guangli Li, Peng Zhao, Xueying Wang, Xiaobing Chen, Xianzhi Yu, Yongxin Yang, Zihan Jiang, Wei Cao, Lei Liu, Xiaobing Feng

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020

Revisiting linpack algorithm on large-scale CPU-GPU heterogeneous systems.

Chaoyang Shui, Xianzhi Yu, Yujin Yan, Yinshan Wang, Ke Meng, Guangming Tan

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020