espressif/llvm-project
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++LLVM IR
Technical Skills
AArch64 ArchitectureCode GenerationCompiler OptimizationInstruction SelectionLLVM
Marius Kamp
PROFILE
Marius Kamp
Worked on the espressif/llvm-project repository to enhance AArch64 code generation by implementing optimizations for CSEL instructions and extending SUBS reassociation. Focused on enabling common subexpression elimination through operand reassociation, the work improved select-path efficiency and reduced instruction counts for common patterns on AArch64 architectures. The approach involved modifying instruction selection logic in C++ and LLVM IR, aligning with established LLVM backend practices. By broadening SUBS reassociation to support non-constant operands, the changes created new opportunities for aggressive compiler optimization. This feature laid the groundwork for further AArch64 improvements and demonstrated depth in compiler optimization and instruction selection.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,344
Activity Months1
Your Network
132 peopleSame Organization
@posteo.org6
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 summary for espressif/llvm-project: Delivered AArch64 optimization work focused on CSEL common subexpression elimination via operand reassociation and extended SUBS reassociation to handle non-constant operands. This improves code efficiency on AArch64 by enabling more aggressive optimization during instruction selection and reducing instruction counts for common patterns. Implemented through two commits: 1eed46960c217f9480865702f06fb730c7521e61 and c22364a4324218e29512740466a2b2cb1a406d8b.
2 Commits • 1 Features
Jan 1, 2025January 2025 summary for espressif/llvm-project: Delivered AArch64 optimization work focused on CSEL common subexpression elimination via operand reassociation and extended SUBS reassociation to handle non-constant operands. This improves code efficiency on AArch64 by enabling more aggressive optimization during instruction selection and reducing instruction counts for common patterns. Implemented through two commits: 1eed46960c217f9480865702f06fb730c7521e61 and c22364a4324218e29512740466a2b2cb1a406d8b.
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++LLVM IR
Technical Skills
AArch64 ArchitectureCode GenerationCompiler OptimizationInstruction SelectionLLVM
Repositories Contributed To
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