llvm/circt
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++MLIR
Technical Skills
Compiler DevelopmentHardware Description LanguagesIntermediate RepresentationLow-Level Optimization
Max-astro
PROFILE
Max-astro
During November 2024, contributed to the llvm/circt repository by expanding the MooreToCore conversion to support pows (signed power) and powu (unsigned power) operations. This work involved lowering these operations to scf.for loops in C++, enabling repeated multiplication to compute power values, and handling negative exponents for pows by returning zero as specified. The implementation improved operation coverage and enhanced compatibility for downstream code generation, addressing translation gaps in the MooreToCore path. The project leveraged expertise in compiler development, hardware description languages, and intermediate representation, with a focus on low-level optimization and robust handling of edge cases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
109
Activity Months1
Your Network
83 peopleShared Repositories
83
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a key feature in llvm/circt: MooreToCore conversion now supports pows (signed power) and powu (unsigned power). The new lowering translates these ops into scf.for loops that perform repeated multiplication; negative exponents for pows yield 0. This expands operation coverage, improves downstream codegen compatibility, and reduces translation gaps in the MooreToCore path.
1 Commits • 1 Features
Nov 1, 2024In 2024-11, delivered a key feature in llvm/circt: MooreToCore conversion now supports pows (signed power) and powu (unsigned power). The new lowering translates these ops into scf.for loops that perform repeated multiplication; negative exponents for pows yield 0. This expands operation coverage, improves downstream codegen compatibility, and reduces translation gaps in the MooreToCore path.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIR
Technical Skills
Compiler DevelopmentHardware Description LanguagesIntermediate RepresentationLow-Level Optimization
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