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
During January 2025, Mikhail Kurnosov contributed to the espressif/llvm-project repository by developing an optimization for the AArch64 backend in LLVM. He implemented operand reassociation for CSEL instructions, enabling common subexpression elimination and improving select-path efficiency. Additionally, he extended SUBS reassociation to support non-constant operands, broadening the scope of optimization opportunities for AArch64 architectures. His work, written in C++ and LLVM IR, focused on enhancing code generation and instruction selection, resulting in reduced instruction counts for common patterns. The depth of these changes laid a solid foundation for further backend optimizations and aligned with established LLVM development practices.
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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