google/heir
Oct 2025 – Oct 2025
1 Month active
Languages Used
C++
Technical Skills
C++ developmentalgorithm designdata structuressymbolic executionunit testing
bon-cdp
PROFILE
Bon-cdp
Shakil Flynn developed a DAG-based kernel cost model for the google/heir repository, focusing on computing exact rotation costs through symbolic execution. Using C++ and leveraging skills in algorithm design and data structures, Shakil replaced placeholder costs with rotation-based calculations, enabling more accurate layout optimization. The implementation included core cost-analysis components and refactored rotation counting into a shared library with common subexpression elimination. Comprehensive unit and integration testing ensured correctness, with all tests passing and the MatvecDiagonal cost now reflecting the Halevi-Shoup algorithm. Shakil also updated documentation and deployment guides, demonstrating depth in both engineering execution and project integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
620
Activity Months1
Your Network
60 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a DAG-based kernel cost model using symbolic execution to compute exact rotation costs for google/heir, replacing placeholder zero costs and enabling more accurate layout optimization decisions. Implemented core cost-analysis components (ArithmeticDAG-based cost construction, KernelRotationCountVisitor with CSE deduplication) and integrated them with kernel code generation. Achieved comprehensive test coverage: 8/8 unit tests passing and 582/582 tests overall; integration test kernel_cost.mlir also passing. The MatvecDiagonal cost now reflects 100 rotations in line with the Halevi-Shoup algorithm. Refactored rotation counting into a shared library, updated kernel cost documentation, and refreshed build/deploy docs. These changes improve cost visibility, optimize layout decisions, and deliver measurable performance and resource-use benefits for the project.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a DAG-based kernel cost model using symbolic execution to compute exact rotation costs for google/heir, replacing placeholder zero costs and enabling more accurate layout optimization decisions. Implemented core cost-analysis components (ArithmeticDAG-based cost construction, KernelRotationCountVisitor with CSE deduplication) and integrated them with kernel code generation. Achieved comprehensive test coverage: 8/8 unit tests passing and 582/582 tests overall; integration test kernel_cost.mlir also passing. The MatvecDiagonal cost now reflects 100 rotations in line with the Halevi-Shoup algorithm. Refactored rotation counting into a shared library, updated kernel cost documentation, and refreshed build/deploy docs. These changes improve cost visibility, optimize layout decisions, and deliver measurable performance and resource-use benefits for the project.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentalgorithm designdata structuressymbolic executionunit testing
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