espressif/llvm-project
Jan 2025 – Jan 2025
1 Month active
Languages Used
cmakecppllpythons
Technical Skills
AssemblyC++CMakeCompiler DevelopmentEmbedded SystemsJIT
Ami-zhang
PROFILE
Ami-zhang
Contributed initial Loongarch64 architecture support for the ORC runtime within the espressif/llvm-project repository, enabling ORC runtime execution on Loongarch ELF platforms. The work involved implementing architecture-specific definitions and comprehensive integration tests to validate Loongarch support in the ELFNixPlatform. Leveraged the ELF backend to handle static initializers, ensuring correct initialization semantics for the new platform. Utilized C++, Assembly, and CMake to integrate these changes into the existing LLVM infrastructure, focusing on compiler development and embedded systems. This feature expanded the platform compatibility of the ORC runtime, laying the groundwork for further Loongarch64 enhancements within the LLVM ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
341
Activity Months1
Your Network
184 peopleWork History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for espressif/llvm-project. Delivered initial Loongarch64 support for the ORC runtime within ELFNixPlatform, enabling ORC runtime execution on Loongarch ELF platforms. Implemented necessary architecture-specific definitions and integration tests, leveraging the ELF backend for static initializers to ensure correct initialization semantics.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for espressif/llvm-project. Delivered initial Loongarch64 support for the ORC runtime within ELFNixPlatform, enabling ORC runtime execution on Loongarch ELF platforms. Implemented necessary architecture-specific definitions and integration tests, leveraging the ELF backend for static initializers to ensure correct initialization semantics.
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
cmakecppllpythons
Technical Skills
AssemblyC++CMakeCompiler DevelopmentEmbedded SystemsJITLLVM
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