Yufan Xu

According to our database, Yufan Xu authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

Exploiting Efficient Mapping and Pipelined Execution for Accelerating SpMV on Tensor Cores.

Kaige Zhang, Hailong Yang, Xin You, Tianyu Feng, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

ElasGNN: An Elastic Training Framework for Distributed GNN Training.

Siqi Wang, Hailong Yang, Pengbo Wang, Hongliang Cao, Yufan Xu, Xuezhu Wang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

2025

RLHFSpec: Breaking the Efficiency Bottleneck in RLHF Training via Adaptive Drafting.

Siqi Wang, Hailong Yang, Junjie Zhu, Xuezhu Wang, Yufan Xu, Depei Qian

CoRR, December, 2025

\uline{LO}w-c\uline{O}st yet High-\uline{P}erformant \uline{S}parse Matrix-Matrix Multiplication on Arm SME Architectures.

Kelun Lei, Hailong Yang, Kaige Zhang, Kejie Ma, Yiqing Wang, Xin You, Yufan Xu, Enrique S. Quintana-Orti, Zhongzhi Luan, Yi Liu, Depei Qian

CoRR, November, 2025

Towards Efficient LLM Inference via Collective and Adaptive Speculative Decoding.

Siqi Wang, Hailong Yang, Xuezhu Wang, Tongxuan Liu, Pengbo Wang, Yufan Xu, Xuning Liang, Kejie Ma, Tianyu Feng, Xin You, Ruihao Gong, Rui Wang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2025

Zero-Value Code Specialization via Profile-Guided Control Data Flow Analysis.

Shaokang Du, Kelun Lei, Xin You, Hailong Yang, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2025

Accelerating Complex Stencil Computations with Adaptive Fusion Strategy.

Siqi Wang, Hailong Yang, Pengbo Wang, Shaokang Du, Yufan Xu, Qingxiao Sun, Xiaoyan Liu, Xuezhu Wang, Xuning Liang, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 39th ACM International Conference on Supercomputing, 2025

ESC: Effective Submanifold Convolution using Tensor Cores.

Xuezhu Wang, Hailong Yang, Xin You, Yufan Xu, Xiaoyan Liu, Siqi Wang, Kaige Zhang, Mingzhen Li, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 54th International Conference on Parallel Processing, 2025

OVERT: Orchestrating Vector-Scalar Execution for Efficient SpMV on Modern CPUs.

Kelun Lei, Hailong Yang, Kaige Zhang, Shaokang Du, Marc Casas, Yufan Xu, Zhongzhi Luan, Yi Liu, Depei Qian

Proceedings of the 54th International Conference on Parallel Processing, 2025

2024

CoNST: Code Generator for Sparse Tensor Networks.

Saurabh Raje, Yufan Xu, Atanas Rountev, Edward F. Valeev, P. Sadayappan

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

CoNST: Code Generator for Sparse Tensor Networks.

Saurabh Raje, Yufan Xu, Atanas Rountev, Edward F. Valeev, Saday Sadayappan

CoRR, 2024

Accelerated Auto-Tuning of GPU Kernels for Tensor Computations.

Chendi Li, Yufan Xu, Sina Mahdipour Saravani, Ponnuswamy Sadayappan

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

2023

PEAK: Generating High-Performance Schedules in MLIR.

Amir Mohammad Tavakkoli, Sameeran Joshi, Shreya Singh, Yufan Xu, P. Sadayappan, Mary W. Hall

Proceedings of the Languages and Compilers for Parallel Computing, 2023

2022

Training of deep learning pipelines on memory-constrained GPUs via segmented fused-tiled execution.

Yufan Xu, Saurabh Raje, Atanas Rountev, Gerald Sabin, Aravind Sukumaran-Rajam, P. Sadayappan

Proceedings of the CC '22: 31st ACM SIGPLAN International Conference on Compiler Construction, Seoul, South Korea, April 2, 2022

Effective Performance Modeling and Domain-Specific Compiler Optimization of CNNs for GPUs.

Yufan Xu, Qiwei Yuan, Erik Curtis Barton, Rui Li, P. Sadayappan, Aravind Sukumaran-Rajam

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Efficient Distributed Algorithms for Convolutional Neural Networks.

Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan

Proceedings of the SPAA '21: 33rd ACM Symposium on Parallelism in Algorithms and Architectures, 2021

Analytical characterization and design space exploration for optimization of CNNs.

Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P. Sadayappan

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2019

Dependence-aware, unbounded sound predictive race detection.

Kaan Genç, Jake Roemer, Yufan Xu, Michael D. Bond

Proc. ACM Program. Lang., 2019