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 13 papers between 2018 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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
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


  Loading...