Published in International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), 2018
Hua Huang and Edmond Chow, Accelerating Quantum Chemistry with Vectorized and Batched Integrals Read more
Published in International Parallel & Distributed Processing Symposium (IPDPS19), 2019
Hua Huang and Edmond Chow, Overlapping Communications with Other Communications and its Application to Distributed Dense Matrix Computations Read more
Published in Journal of Chemical Physics, 152, 024122 (2020), 2020
Hua Huang, C. David Sherrill, and Edmond Chow, Techniques for High-Performance Construction of Fock Matrices Read more
Published in Journal of Chemical Physics, 153, 084119 (2020), 2020
Xin Xing, Hua Huang, and Edmond Chow, A Linear Scaling Hierarchical Block Low-rank Representation of the Electron Repulsion Integral Tensor Read more
Published in ACM Transactions on Mathematical Software, 47 (1), 1-29', 2020
Hua Huang, Xin Xing, and Edmond Chow, H2Pack: High-Performance H2 Matrix Package for Kernel Matrices Using the Proxy Point Method Read more
Published in SIAM Journal on Matrix Analysis and Applications, 42(2), 683–707, 2021
Xin Xing, Hua Huang, and Edmond Chow Read more
Published in SoftwareX, 15, 100709, 2021
Qimen Xu, Abhiraj Sharma, Benjamin Comer, Hua Huang, Edmond Chow, Andrew J Medford, John E Pask, Phanish Suryanarayana Read more
Published in Journal of Computational Physics, 448, 110761, 2021
Xin Xing, Hua Huang, Edmond Chow Read more
Published in International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22), 2022
Hua Huang and Edmond Chow, CA3DMM: A New Algorithm Based on a Unified View of Parallel Matrix Multiplication Read more
Published in SIAM Journal on Scientific Computing (accepted, to appear), 2023
Difeng Cai, Hua Huang, Edmond Chow, and Yuanzhe Xi, Data-Driven Construction of Hierarchical Matrices with Nested Bases Read more
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693. Read more
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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CA3DMM is a parallel dense general matrix multiplication (GEMM) library. Read more
CRP-SpMM is a parallel sparse-dense matrix-matrix multiplication (SpMM) library. Read more
GTMatrix is a portable and lightweight PGAS (partitioned global address space) matrix library written in C + MPI-3. Read more
H2Pack is a library that provides linear-scaling storage and linear-scaling matrix-vector multiplication for dense kernel matrices. Read more
HiGP is a high-performance Python package for Gaussian Process. Read more
YATDFT is a tiny library for constructing matrices used in restricted closed shell Hartree-Fock (HF) and Kohn-Sham density functional theory (KS-DFT) self-consistent field (SCF) calculations using Gaussian basis sets. Read more
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