deepmodeling/abacus-develop
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++Python
Technical Skills
C++Linear AlgebraNumerical MethodsPybind11PythonScientific Computing
a1henu
PROFILE
A1henu
Developed and integrated a Conjugate Gradient (CG) solver into the pyabacus.hsolver module within the deepmodeling/abacus-develop repository, expanding the solver framework to support efficient solutions for large linear systems. The implementation was carried out in C++ with Python bindings via Pybind11, ensuring seamless interoperability and ease of use within existing scientific computing pipelines. The work included updating example scripts and the test suite to validate the new CG path and maintain regression safety. This addition enhanced the scalability and performance of the solver module, providing users with a robust numerical method for scientific and engineering applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
406
Activity Months1
Your Network
25 peopleWork History
November 2024
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Delivered Conjugate Gradient (CG) solver integration in the pyabacus.hsolver module for the deepmodeling/abacus-develop repository. Implemented CG in C++ with Python bindings, integrated it into the existing solver framework, and updated examples and tests to support and exercise the CG path. No major bugs fixed this period. This work broadens solver capabilities for larger systems, enabling faster convergence and more robust performance in production workflows.
1 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — Delivered Conjugate Gradient (CG) solver integration in the pyabacus.hsolver module for the deepmodeling/abacus-develop repository. Implemented CG in C++ with Python bindings, integrated it into the existing solver framework, and updated examples and tests to support and exercise the CG path. No major bugs fixed this period. This work broadens solver capabilities for larger systems, enabling faster convergence and more robust performance in production workflows.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++Linear AlgebraNumerical MethodsPybind11PythonScientific Computing
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