
During a four-month period, Dusan Kostic engineered backend and assembly-level optimizations for the pq-code-package/mlkem-c-aarch64 repository, focusing on cryptographic performance and maintainability. He refactored x86 backend code to remove AVX2 dependencies, introduced SSE4-based assembly, and streamlined data handling by replacing __m256i types with int16_t arrays in C. Dusan also inlined NTT assembly macros to reduce function-call overhead and refactored constant broadcasting to minimize memory traffic, supporting formal verification. His work, primarily in C and assembly, improved cross-architecture compatibility, reduced maintenance complexity, and established a foundation for future optimizations, demonstrating depth in low-level programming and performance engineering.

Month: 2025-10 — Focused backend refactor in pq-code-package/mlkem-c-aarch64. Implemented broadcast of 16-bit constants directly in the X86 backend, removing redundant memory loads and aligning with formal verification goals. No major bugs fixed this month. Key impact: reduced memory traffic, cleaner verification, and a solid base for further architecture simplifications. Commit reference: 27ac9cb6a9989810d2e755d793daf860abc18a04.
Month: 2025-10 — Focused backend refactor in pq-code-package/mlkem-c-aarch64. Implemented broadcast of 16-bit constants directly in the X86 backend, removing redundant memory loads and aligning with formal verification goals. No major bugs fixed this month. Key impact: reduced memory traffic, cleaner verification, and a solid base for further architecture simplifications. Commit reference: 27ac9cb6a9989810d2e755d793daf860abc18a04.
Month: 2025-09 — Focused on delivering a high-impact refactor of NTT-related assembly code through macro inlining across core files in pq-code-package/mlkem-c-aarch64. This work improves code organization, reduces function-call overhead, and sets a solid foundation for future performance optimizations and maintainability.
Month: 2025-09 — Focused on delivering a high-impact refactor of NTT-related assembly code through macro inlining across core files in pq-code-package/mlkem-c-aarch64. This work improves code organization, reduces function-call overhead, and sets a solid foundation for future performance optimizations and maintainability.
Month 2025-08 Monthly Summary: Delivered targeted backend optimizations and architecture simplifications across two repositories, driving performance improvements and maintainability without introducing new dependencies. Detailed deliverables: - pq-code-package/mlkem-c-aarch64: Backend x86 Refactor to remove __m256i usage; uses int16_t arrays directly; simplifies function signatures and internal data handling; aims to improve clarity and reduce casting overhead. Commit: d08a52777b302fce9efd038a9d2c31d253103362. - aws/aws-lc: ML-KEM x86_64 backend integration and AVX2 optimization; integrates x86_64 backend for ML-KEM operations, updates to build scripts, header files, and assembly code to support AVX2; benchmarks show substantial performance gains across ML-KEM operations. Commit: 3b1e95e41679e19c868c6b6c1111eb83fc69bfea. Major bugs fixed: None reported this month. Overall impact and accomplishments: - Business value: Faster cryptographic operations and improved cross-arch support for ML-KEM; reduced maintenance overhead through clearer code and refactored backend paths. - Technical: Cleaned up x86 backend data handling, eliminated __m256i dependencies, and enabled AVX2-accelerated paths with updated build tooling. Technologies/skills demonstrated: - C backend refactoring, SIMD/AVX2 optimization, cross-arch backend integration, build system updates, performance benchmarking.
Month 2025-08 Monthly Summary: Delivered targeted backend optimizations and architecture simplifications across two repositories, driving performance improvements and maintainability without introducing new dependencies. Detailed deliverables: - pq-code-package/mlkem-c-aarch64: Backend x86 Refactor to remove __m256i usage; uses int16_t arrays directly; simplifies function signatures and internal data handling; aims to improve clarity and reduce casting overhead. Commit: d08a52777b302fce9efd038a9d2c31d253103362. - aws/aws-lc: ML-KEM x86_64 backend integration and AVX2 optimization; integrates x86_64 backend for ML-KEM operations, updates to build scripts, header files, and assembly code to support AVX2; benchmarks show substantial performance gains across ML-KEM operations. Commit: 3b1e95e41679e19c868c6b6c1111eb83fc69bfea. Major bugs fixed: None reported this month. Overall impact and accomplishments: - Business value: Faster cryptographic operations and improved cross-arch support for ML-KEM; reduced maintenance overhead through clearer code and refactored backend paths. - Technical: Cleaned up x86 backend data handling, eliminated __m256i dependencies, and enabled AVX2-accelerated paths with updated build tooling. Technologies/skills demonstrated: - C backend refactoring, SIMD/AVX2 optimization, cross-arch backend integration, build system updates, performance benchmarking.
July 2025 monthly summary for pq-code-package/mlkem-c-aarch64: Focused on delivering architecture-appropriate rejection sampling improvements and code maintainability for broader x86 compatibility. Key feature delivered: Rejection Sampling Enhancements for x86 (AVX2 removal, SSE4-based assembly, and improved documentation). The work consolidates changes to the rejection sampling algorithm, clarifies stack usage and bit masks for maintainability, and is supported by three commits. No explicit major bugs fixed this period; the effort emphasized compatibility, clarity, and potential performance improvements. Technologies demonstrated include x86 SSE4 assembly, removal of AVX2 code paths, documentation, and maintainability improvements. Business value includes broader hardware compatibility, potential performance gains, and easier onboarding through documentation.
July 2025 monthly summary for pq-code-package/mlkem-c-aarch64: Focused on delivering architecture-appropriate rejection sampling improvements and code maintainability for broader x86 compatibility. Key feature delivered: Rejection Sampling Enhancements for x86 (AVX2 removal, SSE4-based assembly, and improved documentation). The work consolidates changes to the rejection sampling algorithm, clarifies stack usage and bit masks for maintainability, and is supported by three commits. No explicit major bugs fixed this period; the effort emphasized compatibility, clarity, and potential performance improvements. Technologies demonstrated include x86 SSE4 assembly, removal of AVX2 code paths, documentation, and maintainability improvements. Business value includes broader hardware compatibility, potential performance gains, and easier onboarding through documentation.
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