google/heir
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++MLIR
Technical Skills
Compiler DevelopmentConflict ResolutionDomain-Specific Languages (DSLs)Homomorphic EncryptionIntermediate Representation (IR) Design
itu-itis24-abdulloev23
PROFILE
Itu-itis24-abdulloev23
Abdulloev focused on enhancing the google/heir repository by implementing in-place arithmetic operations within the OpenFHE intermediate representation. He developed new classes, including Openfhe_BinaryInPlaceOp and AddInPlaceOp/SubInPlaceOp, to enable mutation of the left-hand side operand, reducing unnecessary ciphertext allocations and improving throughput. Using C++ and MLIR, he wrote comprehensive tests to ensure correctness of in-place mutation semantics. His work also included resolving integration conflicts and refining summary messaging for new operations. Drawing on skills in compiler development, IR design, and homomorphic encryption, Abdulloev delivered a well-scoped feature that improved code maintainability and efficiency without introducing new bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
40
Activity Months1
Your Network
64 peopleSame Organization
@itu.edu.tr4
Work History
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for google/heir focusing on implementing in-place arithmetic within the OpenFHE IR to reduce ciphertext churn and improve throughput. Delivered in-place binary operations that mutate the left-hand side (Openfhe_BinaryInPlaceOp and AddInPlaceOp/SubInPlaceOp), complemented by MLIR tests to validate behavior. Follow-up work included adjusting summary messaging for AddInPlaceOp and a conflict fix to ensure clean integration.
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for google/heir focusing on implementing in-place arithmetic within the OpenFHE IR to reduce ciphertext churn and improve throughput. Delivered in-place binary operations that mutate the left-hand side (Openfhe_BinaryInPlaceOp and AddInPlaceOp/SubInPlaceOp), complemented by MLIR tests to validate behavior. Follow-up work included adjusting summary messaging for AddInPlaceOp and a conflict fix to ensure clean integration.
January 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIR
Technical Skills
Compiler DevelopmentConflict ResolutionDomain-Specific Languages (DSLs)Homomorphic EncryptionIntermediate Representation (IR) Design
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