
Ferenc Rakoczi contributed to the openjdk/jdk-sandbox repository by engineering low-level cryptographic optimizations for post-quantum algorithms, focusing on both ARM64 and x86 architectures. He developed and integrated AVX-512 and ARMv8 intrinsics in C++ and assembly to accelerate ML-DSA and ML-KEM primitives, optimizing core routines such as NTT, polynomial arithmetic, and Barrett reduction. His work included code cleanup and compiler adjustments to improve maintainability and performance portability. By enabling hardware-accelerated cryptographic pathways and refining cross-platform SIMD support, Ferenc addressed performance bottlenecks in cryptographic workloads, delivering measurable throughput gains and establishing a robust foundation for future optimizations.

Monthly performance summary for 2025-05 focused on delivering an AVX-512 optimization for ML-KEM within the Kyber implementation in the openjdk/jdk-sandbox repository. The work emphasizes business value through cryptographic algorithm acceleration and alignment with vectorization capabilities on supported hardware.
Monthly performance summary for 2025-05 focused on delivering an AVX-512 optimization for ML-KEM within the Kyber implementation in the openjdk/jdk-sandbox repository. The work emphasizes business value through cryptographic algorithm acceleration and alignment with vectorization capabilities on supported hardware.
Month: 2025-04 — OpenJDK jdk-sandbox delivered key cross-platform SIMD optimizations for ML cryptography and essential code cleanup, driving performance portability and maintainability.
Month: 2025-04 — OpenJDK jdk-sandbox delivered key cross-platform SIMD optimizations for ML cryptography and essential code cleanup, driving performance portability and maintainability.
March 2025 monthly summary for openjdk/jdk-sandbox focused on ARM64 optimization work for ML-DSA cryptographic algorithms. Delivered low-level enhancements to accelerate ML-DSA on ARM64 by adding aarch64 intrinsics, new assembler instructions, and stub generation for Dilithium NTT and related operations. The work is anchored by a single committed change that enables hardware-accelerated cryptographic pathways and sets the stage for broader performance improvements across ARM64 platforms.
March 2025 monthly summary for openjdk/jdk-sandbox focused on ARM64 optimization work for ML-DSA cryptographic algorithms. Delivered low-level enhancements to accelerate ML-DSA on ARM64 by adding aarch64 intrinsics, new assembler instructions, and stub generation for Dilithium NTT and related operations. The work is anchored by a single committed change that enables hardware-accelerated cryptographic pathways and sets the stage for broader performance improvements across ARM64 platforms.
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