deepmodeling/abacus-develop
Jun 2026 – Jun 2026
1 Month active
Languages Used
C++
Technical Skills
C++ developmentalgorithm optimizationhigh-performance computingparallel programming
Semt0
PROFILE
Semt0
Worked on the deepmodeling/abacus-develop repository to optimize FFT data reordering for ARM-based high-performance computing nodes. Focused on replacing element-by-element copy loops with std::memcpy, enabling ARM NEON vectorization and improving memory bandwidth utilization on Kunpeng 920 hardware. Used C++ and parallel programming techniques to accelerate FFT pipelines while maintaining numerical correctness, as verified by comprehensive test suites and MPI communication checks. Addressed review feedback with targeted bug fixes and enhanced documentation using Doxygen. Collaborated closely with co-authors to ensure maintainability and clarity, resulting in measurable performance gains across key computational hotspots without compromising result accuracy or stability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
161
Activity Months1
Your Network
66 peopleSame Organization
@stu.pku.edu.cn34
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly performance summary for deepmodeling/abacus-develop focusing on performance optimization, correctness, and maintainability. Delivered a high-impact FFT data reordering optimization using memcpy with ARM NEON on Kunpeng 920, achieving better memory bandwidth utilization and enabling faster FFT pipelines on ARM-based HPC nodes. All changes preserved numerical correctness as verified by test suites and MPI communication patterns. Implemented a targeted bug fix addressing review comments in pw_gatherscatter.h. Documented and stabilized key components to improve future maintainability.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly performance summary for deepmodeling/abacus-develop focusing on performance optimization, correctness, and maintainability. Delivered a high-impact FFT data reordering optimization using memcpy with ARM NEON on Kunpeng 920, achieving better memory bandwidth utilization and enabling faster FFT pipelines on ARM-based HPC nodes. All changes preserved numerical correctness as verified by test suites and MPI communication patterns. Implemented a targeted bug fix addressing review comments in pw_gatherscatter.h. Documented and stabilized key components to improve future maintainability.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentalgorithm optimizationhigh-performance computingparallel programming
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