deepmodeling/abacus-develop
Mar 2026 – Mar 2026
1 Month active
Languages Used
C++
Technical Skills
C++ developmentsoftware debugging
PKUJZX
PROFILE
Pkujzx
During March 2026, Zixuan Jiang focused on enhancing the stability of gradient computations in the CG optimizer within the deepmodeling/abacus-develop repository. He addressed a critical bug by initializing the gamma variable in the setup_cg_grad function, which prevented undefined behavior and reduced intermittent failures in production simulations. This targeted C++ debugging effort improved the reliability and determinism of long-running optimization tasks, mitigating the risk of NaNs and unstable gradients. Zixuan collaborated closely with peers through code review and Git-based workflows, demonstrating strong skills in C++ development, numerical optimization, and collaborative problem solving in a complex scientific software environment.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
2
Activity Months1
Your Network
25 peopleWork History
March 2026
1 Commits
Mar 1, 2026March 2026 Monthly Summary — deepmodeling/abacus-develop Key features delivered - None this month. Focused on a critical stability improvement in the CG gradient setup to enhance reliability of gradient computations in the CG optimizer. Major bugs fixed - CG Gradient Setup Stability: Initialize gamma to a defined value in setup_cg_grad to prevent undefined behavior and ensure reliable gradient computations in the CG optimizer. Commit eb1665cde9dac399966cea54cd38bfa32f433acb (Fix: initialize variable gamma to prevent undefined behavior in lattice_change_cg.cpp (#7038)); Co-authored-by: Mohan Chen <mohanchen@pku.edu.cn> Overall impact and accomplishments - Increased stability and determinism of CG gradient computations, reducing intermittent failures and debugging time in production simulations. - This fix mitigates a potential source of undefined behavior in the CG optimizer, improving reliability of long-running optimization tasks. Technologies/skills demonstrated - C++ debugging and fault isolation in numerical optimization code - Code review, collaborative problem solving, and Git-based change management - CI-friendly, minimal-risk bug fix with clear traceability
1 Commits
Mar 1, 2026March 2026 Monthly Summary — deepmodeling/abacus-develop Key features delivered - None this month. Focused on a critical stability improvement in the CG gradient setup to enhance reliability of gradient computations in the CG optimizer. Major bugs fixed - CG Gradient Setup Stability: Initialize gamma to a defined value in setup_cg_grad to prevent undefined behavior and ensure reliable gradient computations in the CG optimizer. Commit eb1665cde9dac399966cea54cd38bfa32f433acb (Fix: initialize variable gamma to prevent undefined behavior in lattice_change_cg.cpp (#7038)); Co-authored-by: Mohan Chen <mohanchen@pku.edu.cn> Overall impact and accomplishments - Increased stability and determinism of CG gradient computations, reducing intermittent failures and debugging time in production simulations. - This fix mitigates a potential source of undefined behavior in the CG optimizer, improving reliability of long-running optimization tasks. Technologies/skills demonstrated - C++ debugging and fault isolation in numerical optimization code - Code review, collaborative problem solving, and Git-based change management - CI-friendly, minimal-risk bug fix with clear traceability
March 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentsoftware debugging
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