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, this developer contributed to the llvm/circt repository by expanding the MooreToCore conversion to support pows (signed power) and powu (unsigned power) operations. They implemented a lowering strategy that translates these operations into scf.for loops performing repeated multiplication, with negative exponents for pows returning zero as specified. This work, using C++ and MLIR, improved the coverage of MooreToCore and enhanced compatibility for downstream code generation. The developer demonstrated skills in compiler development, hardware description languages, and low-level optimization, addressing translation gaps and ensuring the new feature integrated smoothly into the existing intermediate representation infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
109
Activity Months1
Your Network
76 peopleShared Repositories
76
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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