Yang Liu

Orcid: 0000-0003-3750-1178

Affiliations:
  • Lawrence Berkeley National Laboratory, Computational Research Division, CA, USA


According to our database1, Yang Liu authored at least 22 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Sparse Approximate Multifrontal Factorization with Composite Compression Methods.
ACM Trans. Math. Softw., September, 2023

Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver.
ACM Trans. Math. Softw., March, 2023

A Fast Butterfly-Compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources.
Multiscale Model. Simul., March, 2023

VoxImp: Impedance Extraction Simulator for Voxelized Structures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters.
Proceedings of the International Conference for High Performance Computing, 2023

Harnessing the Crowd for Autotuning High-Performance Computing Applications.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022
Hybrid Models for Mixed Variables in Bayesian Optimization.
CoRR, 2022

GPTuneBand: Multi-task and Multi-fidelity Autotuning for Large-scale High Performance Computing Applications.
Proceedings of the 2022 SIAM Conference on Parallel Processing for Scientific Computing, 2022

2021
Butterfly Factorization Via Randomized Matrix-Vector Multiplications.
SIAM J. Sci. Comput., 2021

Sparse Approximate Multifrontal Factorization with Butterfly Compression for High-Frequency Wave Equations.
SIAM J. Sci. Comput., 2021

A Butterfly-Accelerated Volume Integral Equation Solver for Broad Permittivity and Large-Scale Electromagnetic Analysis.
CoRR, 2021

Non-smooth Bayesian Optimization in Tuning Problems.
CoRR, 2021

GPTune: multitask learning for autotuning exascale applications.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Enhancing Autotuning Capability with a History Database.
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.
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.
J. Comput. Phys., 2020

A parallel hierarchical blocked adaptive cross approximation algorithm.
Int. J. High Perform. Comput. Appl., 2020

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic.
CoRR, 2020

Leveraging One-Sided Communication for Sparse Triangular Solvers.
Proceedings of the 2020 SIAM Conference on Parallel Processing for Scientific Computing, 2020

Scalable and Memory-Efficient Kernel Ridge Regression.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2018
Highly scalable distributed-memory sparse triangular solution algorithms.
Proceedings of the Eighth SIAM Workshop on Combinatorial Scientific Computing, 2018

A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018


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