
Email:
liuyangzhuan@lbl.gov
Address:
MS 50A-3111, 1 Cyclotron Road
Berkeley, CA 94720
Phone:
734-546-7392
Google Scholar:
[Here]
PREPRINTS (“†” corresponding author, “__” advisee)
- P. M. Kielstra, T. Shi, H. Luo, J. Qian, and, Y. Liu†, "A linear-complexity tensor butterfly algorithm for compressing high-dimensional oscillatory integral operators," [pdf]
- M. Rahman, Z. Bai, J. King, C. Sovinec, X. Wei, S. Williams, and, Y. Liu†, "Sparsified time-dependent Fourier neural operators for fusion simulations," [pdf]
- N. Ding, B. Austin, Y. Liu, N. Mehta, S. Farrell, J. P. Blaschke, L. Oliker, H. A. Nam, N. J. Wright, and S. Williams, "Workflow roofline model for end-to-end workflow performance analysis, [pdf]
- N. Singh, X. S. Li, E. Solomonik, and Y. Liu†, "Matrix completion algorithm in the butterfly format,"
- H. Luo, X. S. Li, Y. Liu, M. M. Noack, M. D. Risser, and J. Qiang, "Wasserstein-type Gaussian process for error-in-variables,"
- X. Jia, Y. Liu†, M. Wang, C. Wang, and A. C. Yucel, "A hybrid tensor-FFT-accelerated volume integral equation solver for magneto-quasi-static analysis of multiscale voxelized geometries,"
- S. Ockerman, A. Perez Dieguez, T. Aikman, Y. Cho, Y. Liu, and K. Ibrahim, "Parallelizing HPC tuning searches: unveiling the potential of the speculation strategy in Bayesian optimization,
- W. Boukaram, Y. Liu, P. Ghysels, and X. S. Li, "Adaptive sketching based construction of H2-matrices on GPUs,
BOOK CHAPTERS
- Y. Liu†, and E. Michielssen, "Parallel fast time-domain integral-equation methods for transient electromagnetic analysis," Parallel algorithms in computational science and engineering., Birkhauser, 2020.
REFEREED JOURNAL PUBLICATIONS (“†” corresponding author, “__” advisee)
- T. Shi, Z. Wang, A. Aldossary, Y. Liu, X. S. Li, and M. Head-Gordon, "Local second order Møller-Plesset theory with a single threshold using orthogonal virtual orbitals: a distributed memory implementation," J. Chem. Theory Comput., 2024. [pdf]
- W. Boukaram, Y. Hong, Y. Liu, T. Shi, and X. S. Li, "Batched sparse direct solver design and evaluation in SuperLU DIST," Int. Journal of High Performance Computing Applications, 2024.[pdf]
- H. Luo, J.W. Demmel, Y. Cho, X. S. Li, and Y. Liu, "Non-smooth Bayesian optimization in tuning scientific aplications," Int. Journal of High Performance Computing Applications, 2024.[pdf]
- H. Luo, Y. Cho, J. W. Demmel, X. S. Li, and Y. Liu, "Hybrid models for mixed variables in Bayesian optimization," Journal of Computational and Graphical Statistics, 2024. [pdf]
- Z. Wang, A. Aldossary, T. Shi, Y. Liu, X. S. Li, and M. Head-Gordon, "Local second order Møller-Plesset theory with a single threshold using orthogonal virtual orbitals: Theory, implementation and assessment," J. Chem. Theory Comput., 2023. [pdf]
- Y. Liu†, T. Luo, A. Rani, H. Luo, and X. Li, "Detecting resonance of radio-frequency cavities using fast direct integral equation solvers and augmented Bayesian optimization," IEEE J. Multiscale Multiphysics Comput. Tech., 2023. [pdf]
- L. Claus, P. Ghysels, Y. Liu, T. Nhan, R. Thirumalaisamy, A. P. S. Bhalla, and X. Li, "Sparse approximate multifrontal factorization with composite compression methods," ACM Trans. Math. Softw., 2023. [pdf]
- X. Li, Y. Liu, P. Lin, and P. Sao, "Newly released capabilities in distributed-memory SuperLU sparse direct solver," ACM Trans. Math. Softw., 2023. [pdf]
- W. Sheng, A. C. Yucel, Y. Liu, H. Guo, and E. Michielssen, "A domain decomposition based surface integral equation simulator for characterizing EM wave propagation in mine environments," IEEE Trans. Antennas Propag., 2023.
- M. Wang, Y. Liu, P. Ghysels, and A. C. Yucel, "VoxImp: impedance extraction simulator for voxelized structures," IEEE Trans. Antennas Propag., 2023.
- Y. Liu†, J. Song, R. Burridge, and J. Qian, "A fast butterfly-compressed Hadamard-Babich integrator for high-frequency inhomogenous Helmholtz equations in variable media," SIAM J. Multiscale Model. Simul., 2022. [pdf]
- S. B. Sayed, Y. Liu†, L. J. Gomez, and A. C. Yucel, "A butterfly-accelerated volume integral equation solver for broad permittivity and large-scale electromagnetic analysis," IEEE Trans. Antennas Propag., 2021.[pdf]
- Y. Liu†, P. Ghysels, L. Claus, and X. Sherry Li "Sparse approximate multifrontal factorization with butterfly compression for high frequency wave equations,” SIAM J. Sci. Comput., 2021. [pdf]
- Y. Liu†, X. Xing, H. Guo, E. Michielssen, P. Ghysels, and X. Sherry Li, "Butterfly factorization via randomized matrix-vector multiplications," SIAM J. Sci. Comput., 2021. [pdf]
- Y. Liu†, and H. Yang, "A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces," J. Comput. Phys., 2019. [pdf]
- Y. Liu†, W. Sid-Lakhdar, E. Rebrova, P. Ghysels, and X. Sherry Li, "A parallel hierarchical blocked adaptive cross approximation algorithm," Int. Journal of High Performance Computing Applications, 2019. [pdf]
- H. Guo, Y. Liu, J. Hu, and E. Michielssen, "A butterfly‐based direct solver using hierarchical LU factorization for Poggio‐Miller‐Chang‐Harrington‐Wu‐Tsai equations,Microw. Opt. Technol. Lett. 2018. [pdf]
- Y. Liu†, A. C. Yucel, H. Bagci, A. C. Gilbert, and E. Michielssen, "Wavelet-enhanced plane-wave time-domain algorithm for analysis of transient scattering from electrically large conducting objects," IEEE Trans. Antennas Propag., 2017. [pdf]
- A. C. Yucel, W. Sheng, C. Zhou, Y. Liu, H. Bagci, and E. Michielssen, "An FMM-FFT accelerated SIE simulator for analyzing EM wave propagation in mine environments loaded with conductors,IEEE J. Multiscale and Multiphys. Comput. Techn., 2017. [pdf]
- Y. Liu†, H. Guo, and E. Michielssen, "A HSS matrix-inspired butterfly-based direct solver for analyzing scattering from two-dimensional objects," IEEE Antennas Wireless Propag. Lett., 2016. [pdf]
- H. Guo, Y. Liu, J. Hu, and E. Michielssen, "A butterfly-based direct integral equation solver using hierarchical LU factorization for analyzing scattering from electrically large conducting objects," IEEE Trans. Antennas Propag., 2016. [pdf]
- Y. Liu†, A. Al-Jarro, H. Bagci, and E. Michielssen, "Parallel PWTD-accelerated explicit solution of the time domain electric field volume integral equation," IEEE Trans. Antennas Propag., 2016. [pdf]
- Y. Liu†, A. C. Yucel, H. Bagci, and E. Michielssen, "A scalable parallel PWTD-accelerated SIE solver for analyzing transient scattering from electrically large objects," IEEE Trans. Antennas Propag., 2016. [pdf]
- Y. Liu†, A. C. Yucel, V. Lomakin, and E. Michielssen, "Graphics processing unit implementation of multilevel plane-wave time-domain algorithm," IEEE Antennas Wireless Propag. Lett., vol. 1, pp. 1-1, 2014. [pdf]
- A. C. Yucel, Y. Liu, H. Bagci, and E. Michielssen, "Statistical characterization of electromagnetic wave propagation in mine environments," IEEE Antennas Wireless Propag. Lett., vol. 12, pp. 1602-1605, 2013. [pdf]
CONFERENCE PUBLICATIONS (“†” corresponding author, “__” advisee)
- Y. Liu†, N. Ding, P. Sao, S. Williams, and X. S. Li, "Unified communication optimization strategies for sparse triangular solver on CPU and GPU clusters," The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. [pdf]
- Y.-K Kan, X. Li, Y. Liu, J. Qiang, X. Gu, W. Fung, and Y. Hao, "Advanced modeling and optimization of nuclear physics colliders," 15th International Particle Accelerator Conference (IPAC), 2024. [pdf]
- Y. Liu†, N. Ding, P. Sao, S. Williams, and X. S. Li, "Unified communication optimization strategies for sparse triangular solver on CPU and GPU clusters," The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. [pdf]
- G. Dinh, I. Kannan, H. Luo, C. Hong, Y. Cho, J. Demmel, X. S. Li, and Y. Liu, "Sample-Efficient Mapspace Optimization for DNN Accelerators with Bayesian Learning," ML for Computer Architecture and Systems (MLArchSys), ISCA, 2023. [pdf]
- Y. Cho, J. W. Demmel, J. King, X. S. Li, Y. Liu, and H. Luo, "Harnessing the crowd for autotuning high-performance computing applications," in IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023. [pdf]
- Y. Liu†, "A comparative study of butterfly-enhanced direct integral and differential equation solvers for high-frequency electromagnetic analysis involving inhomogeneous dielectrics," 3rd URSI Atlantic Radio Science Meeting (AT-AP-RASC), 2022. [pdf]
- X. Zhu, Y. Liu, P. Ghysels, D. Bindal, and X. S. Li, "GPTuneBand: multi-task and multi-fidelity Bayesian optimization for autotuning large-scale high performance computing applications," SIAM PP, 2022. [pdf]
- Y. Cho, J. W. Demmel, X. S. Li, Y. Liu, and H. Luo, "Enhancing autotuning capability with a history database," IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), 2021. [pdf]
- Y. Liu†, W. M. Sid-Lakhdar, O. Marques, X. Zhu, C. Meng, J. W. Demmel, and X. S. Li, "GPTune: multitask learning for autotuning exascale applications," PPoPP, 2021. [pdf]
- N. Ding, S. Williams, Y. Liu and X. S. Li, "A message-driven, multi-GPU parallel sparse triangular solver," SIAM ACDA, 2021. [pdf]
- NG. Chavez, E. Rebrova, Y. Liu, P. Ghysels and X. S. Li, "Scalable and memory-efficient kernel ridge regression," 34th IEEE International Parallel and Distributed Processing Symposium, 2020. [pdf]
- Nan Ding, Samuel Williams, Y. Liu, and X. S. Li, "Leveraging one-sided communication for sparse triangular solvers," SIAM Workshop on Combinatorial Scientific Computing, 2020. [pdf]
- Y. Liu†, M. Jacquelin, P. Ghysels, and X. S. Li, "Highly scalable distributed-memory sparse triangular solve algorithms," SIAM Workshop on Combinatorial Scientific Computing, 2018. [pdf]
- E. Rebrova, G. Ghavez, Y. Liu, P. Ghysels, and X. S. Li, "A study of clustering techniques and hierarchical matrix formats for kernel ridge regression," Proc. IEEE IPDPSW, 2018. [pdf]
- Y. Liu†, V. Lomakin, and E. Michielssen, "Graphics processing unit-accelerated implementation of the plane wave time domain algorithm," 28th Ann. Rev. Prog. Appl. Computat. Electromagn., 2012. [pdf]
- J. Liang, Y. Liu†, W. Zhang, Y. Xu, X. Gan, and X. Wang, "Joint compressive sensing in wideband cognitive networks," in Proc. IEEE WCNC, 2010. [pdf]