Yang Liu

According to our database, Yang Liu authored at least 24 papers between 2018 and 2024.

Collaborative distances:

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

2024

Non-smooth Bayesian optimization in tuning scientific applications.

Hengrui Luo, Younghyun Cho, James Weldon Demmel, Igor Kozachenko, Xiaoye S. Li, Yang Liu

Int. J. High Perform. Comput. Appl., 2024

Batched sparse direct solver design and evaluation in SuperLU_DIST.

Wajih Boukaram, Yuxi Hong, Yang Liu, Tianyi Shi, Xiaoye S. Li

Int. J. High Perform. Comput. Appl., 2024

2023

Sparse Approximate Multifrontal Factorization with Composite Compression Methods.

Lisa Claus, Pieter Ghysels, Yang Liu, Thái Anh Nhan, Ramakrishnan Thirumalaisamy, Amneet Pal Singh Bhalla, Xiaoye Sherry Li

ACM Trans. Math. Softw., September, 2023

Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver.

Xiaoye S. Li, Paul Lin, Yang Liu, Piyush Sao

ACM Trans. Math. Softw., March, 2023

A Fast Butterfly-Compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources.

Yang Liu, Jian Song, Robert Burridge, Jianliang Qian

Multiscale Model. Simul., March, 2023

VoxImp: Impedance Extraction Simulator for Voxelized Structures.

Mingyu Wang, Yang Liu, Pieter Ghysels, Abdulkadir C. Yucel

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters.

Yang Liu, Nan Ding, Piyush Sao, Samuel Williams, Xiaoye Sherry Li

Proceedings of the International Conference for High Performance Computing, 2023

Harnessing the Crowd for Autotuning High-Performance Computing Applications.

Younghyun Cho, James Weldon Demmel, Jacob King, Xiaoye S. Li, Yang Liu, Hengrui Luo

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

Hybrid Models for Mixed Variables in Bayesian Optimization.

Hengrui Luo, Younghyun Cho, James Weldon Demmel, Xiaoye S. Li, Yang Liu

CoRR, 2022

GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.

Xinran Zhu, Yang Liu, Pieter Ghysels, David Bindel, Xiaoye S. Li

Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021

Butterfly Factorization Via Randomized Matrix-Vector Multiplications.

Yang Liu, Xin Xing, Han Guo, Eric Michielssen, Pieter Ghysels, Xiaoye Sherry Li

SIAM J. Sci. Comput., 2021

Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations.

Yang Liu, Pieter Ghysels, Lisa Claus, Xiaoye Sherry Li

SIAM J. Sci. Comput., 2021

A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis.

Sadeed B. Sayed, Yang Liu, Luis J. Gomez, Abdulkadir C. Yucel

CoRR, 2021

Non-smooth Bayesian Optimization in Tuning Problems.

Hengrui Luo, James Weldon Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu

CoRR, 2021

GPTune: multitask learning for autotuning exascale applications.

Yang Liu, Wissam M. Sid-Lakhdar, Osni Marques, Xinran Zhu, Chang Meng, James Weldon Demmel, Xiaoye S. Li

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

Enhancing Autotuning Capability with a History Database.

Younghyun Cho, James Demmel, Xiaoye S. Li, Yang Liu, Hengrui Luo

Proceedings of the 14th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2021

A Message-Driven, Multi-GPU Parallel Sparse Triangular Solver.

Nan Ding, Yang Liu, Samuel Williams, Xiaoye S. Li

Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, 2021

2020

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces.

Yang Liu, Haizhao Yang

J. Comput. Phys., 2020

A parallel hierarchical blocked adaptive cross approximation algorithm.

Yang Liu, Wissam M. Sid-Lakhdar, Elizaveta Rebrova, Pieter Ghysels, Xiaoye Sherry Li

Int. J. High Perform. Comput. Appl., 2020

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic.

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

CoRR, 2020

Leveraging One-Sided Communication for Sparse Triangular Solvers.

Nan Ding, Samuel Williams, Yang Liu, Xiaoye S. Li

Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

Scalable and Memory-Efficient Kernel Ridge Regression.

Gustavo Chávez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li, Elizaveta Rebrova

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018

Highly scalable distributed-memory sparse triangular solution algorithms.

Yang Liu, Mathias Jacquelin, Pieter Ghysels, Xiaoye S. Li

Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, 2018

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.

Elizaveta Rebrova, Gustavo Chavez, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018