Yang Liu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Kernel Ridge Regression

Top Venues

SIAM J. Sci. Comput.

Publications

Yang Liu, Nan Ding, Piyush Sao, Samuel Williams, Xiaoye Sherry Li
Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters. SC (2023)
Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Composite Compression Methods. ACM Trans. Math. Softw. 49 (3) (2023)
Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo
Harnessing the Crowd for Autotuning High-Performance Computing Applications. IPDPS (2023)
Yang Liu, Jian Song, Robert Burridge, Jianliang Qian
A Fast Butterfly-Compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources. Multiscale Model. Simul. 21 (1) (2023)
Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li
GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications. PPSC (2022)
Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li
GPTune: multitask learning for autotuning exascale applications. PPoPP (2021)
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
Butterfly Factorization Via Randomized Matrix-Vector Multiplications. SIAM J. Sci. Comput. 43 (2) (2021)
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations. SIAM J. Sci. Comput. 43 (5) (2021)
Nan Ding, Yang Liu, Samuel Williams, Xiaoye S. Li
A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver. ACDA (2021)
Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu
Non-smooth Bayesian Optimization in Tuning Problems. CoRR (2021)
Younghyun Cho, James Demmel, Xiaoye S. Li, Yang Liu, Hengrui Luo
Enhancing Autotuning Capability with a History Database. MCSoC (2021)
Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova
Scalable and Memory-Efficient Kernel Ridge Regression. IPDPS (2020)
Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li
A parallel hierarchical blocked adaptive cross approximation algorithm. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li
Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations. CoRR (2020)
Ahmad Abdelfattah, Hartwig Anzt, Erik G. Boman, Erin C. Carson, Terry Cojean, Jack J. Dongarra, Mark Gates, Thomas Grützmacher, Nicholas J. Higham, Xiaoye Sherry Li, Neil Lindquist, Yang Liu, Jennifer A. Loe, Piotr Luszczek, Pratik Nayak, Srikara Pranesh, Sivasankaran Rajamanickam, Tobias Ribizel, Barry Smith, Kasia Swirydowicz, Stephen J. Thomas, Stanimire Tomov, Yaohung M. Tsai, Ichitaro Yamazaki, Ulrike Meier Yang
A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic. CoRR (2020)
Nan Ding, Samuel Williams, Yang Liu, Xiaoye S. Li
Leveraging One-Sided Communication for Sparse Triangular Solvers. PPSC (2020)
Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li
Butterfly factorization via randomized matrix-vector multiplications. CoRR (2020)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. CoRR (2018)
Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li
Highly scalable distributed-memory sparse triangular solution algorithms. CSC (2018)
Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression. IPDPS Workshops (2018)