Hua Huang

Orcid: 0000-0003-1060-5639

Affiliations:
  • NVIDIA Corporation, SC, US
  • Georgia Institute of Technology, School of Computational Science and Engineering, College of Computing, Atlanta, GA, USA (PhD 2024)


According to our database1, Hua Huang authored at least 15 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HiGP: A high-performance Python package for Gaussian Processes.
J. Open Source Softw., January, 2026

2025
Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization.
CoRR, October, 2025

HiGP: A high-performance Python package for Gaussian Process.
CoRR, March, 2025

2024
New Parallel Algorithms for Large-Scale Matrix Computations.
PhD thesis, 2024

Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication.
IEEE Trans. Parallel Distributed Syst., 2024

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.
SIAM J. Sci. Comput., 2024

Data-Driven Construction of Hierarchical Matrices With Nested Bases.
SIAM J. Sci. Comput., 2024

Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers.
Proceedings of the International Conference for High Performance Computing, 2024

2022
A hierarchical matrix approach for computing hydrodynamic interactions.
J. Comput. Phys., 2022

CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021
H2Pack: High-performance <i>H</i><sup>2</sup> Matrix Package for Kernel Matrices Using the Proxy Point Method.
ACM Trans. Math. Softw., 2021

SPARC: Simulation Package for Ab-initio Real-space Calculations.
SoftwareX, 2021

Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite ℋ<sup>2</sup> Matrices.
SIAM J. Matrix Anal. Appl., 2021

2019
Overlapping Communications with Other Communications and Its Application to Distributed Dense Matrix Computations.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

2018
Accelerating quantum chemistry with vectorized and batched integrals.
Proceedings of the International Conference for High Performance Computing, 2018


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