Personal information

Activities

Employment (4)

NVIDIA Corporation: Santa Clara, US

2024-08-19 to present | Developer Technology Engineer
Employment
Source: Self-asserted source
Hua Huang

Georgia Institute of Technology: Atlanta, GA, US

2018-01-04 to 2024-07-31 | Graduate Research Assistant (School of Computational Science and Engineering)
Employment
Source: Self-asserted source
Hua Huang

Meta: CA, CA, US

2021-05-17 to 2021-08-13 | Software Engineer Intern
Employment
Source: Self-asserted source
Hua Huang

Intel Corporation: Santa Clara, CA, US

2020-08-24 to 2020-12-18 | Research Intern
Employment
Source: Self-asserted source
Hua Huang

Education and qualifications (3)

Georgia Institute of Technology: Atlanta, GA, US

2019-05-05 to 2024-08-07 | Ph.D. (School of Computational Science and Engineering)
Education
Source: Self-asserted source
Hua Huang

Georgia Institute of Technology: Atlanta, GA, US

2017-08-21 to 2019-05-04 | Master of Science (College of Computing)
Education
Source: Self-asserted source
Hua Huang

Sun Yat-Sen University: Guangzhou, Guangdong, CN

2013-08-15 to 2017-06-30 | Bachelor of Science (School of Mathematics)
Education
Source: Self-asserted source
Hua Huang

Works (11)

Exploring the Design Space of Distributed Parallel Sparse Matrix-Multiple Vector Multiplication

IEEE Transactions on Parallel and Distributed Systems
2024 | Journal article
Contributors: Hua Huang; Edmond Chow
Source: check_circle
Crossref

Many-Body Electronic Correlation Energy using Krylov Subspace Linear Solvers

2024 SC24: International Conference for High Performance Computing, Networking, Storage and Analysis SC
2024-11 | Conference paper
Contributors: Shah, Shikhar; Zhang, Boqin; Huang, Hua; Pask, John E.; Suryanarayana, Phanish; Chow, Edmond
Source: Self-asserted source
Hua Huang

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices

SIAM Journal on Scientific Computing
2024-08-31 | Journal article
Part of ISSN: 1064-8275
Part of ISSN: 1095-7197
Contributors: Shifan Zhao; Tianshi Xu; Hua Huang; Edmond Chow; yuanzhe xi
Source: Self-asserted source
Hua Huang
grade
Preferred source (of 2)‎

A hierarchical matrix approach for computing hydrodynamic interactions

Journal of Computational Physics
2022-01 | Journal article
Contributors: Xin Xing; Hua Huang; Edmond Chow
Source: check_circle
Crossref

SPARC: Simulation Package for Ab-initio Real-space Calculations

SoftwareX
2021-07 | Journal article
Contributors: Qimen Xu; Abhiraj Sharma; Benjamin Comer; Hua Huang; Edmond Chow; Andrew J. Medford; John E. Pask; Phanish Suryanarayana
Source: check_circle
Crossref

H2Pack: High-performance H2 Matrix Package for Kernel Matrices Using the Proxy Point Method

ACM Transactions on Mathematical Software
2021-03-31 | Journal article
Part of ISSN: 0098-3500
Part of ISSN: 1557-7295
Contributors: Hua Huang; Xin Xing; Edmond Chow
Source: Self-asserted source
Hua Huang

Efficient Construction of an HSS Preconditioner for Symmetric Positive Definite $\mathcal{H}^2$ Matrices

SIAM Journal on Matrix Analysis and Applications
2021-01 | Journal article
Part of ISSN: 0895-4798
Part of ISSN: 1095-7162
Contributors: Xin Xing; Hua Huang; Edmond Chow
Source: Self-asserted source
Hua Huang

A linear scaling hierarchical block low-rank representation of the electron repulsion integral tensor

The Journal of Chemical Physics
2020-08-28 | Journal article
Part of ISSN: 0021-9606
Part of ISSN: 1089-7690
Source: Self-asserted source
Hua Huang
grade
Preferred source (of 2)‎

Techniques for high-performance construction of Fock matrices

The Journal of Chemical Physics
2020-01-14 | Journal article
Part of ISSN: 0021-9606
Part of ISSN: 1089-7690
Source: Self-asserted source
Hua Huang

Overlapping Communications with Other Communications and Its Application to Distributed Dense Matrix Computations

2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
2019-05-20 | Conference paper
Source: Self-asserted source
Hua Huang

Accelerating Quantum Chemistry with Vectorized and Batched Integrals

SC18: International Conference for High Performance Computing, Networking, Storage and Analysis
2018-11-20 | Conference paper
Source: Self-asserted source
Hua Huang