
Worked on the google/heir repository to deliver parallel processing capabilities for cryptographic workloads by implementing parallel execution of scf::ForallOp in the OpenFHE interpreter. Utilized C++ and OpenMP to enable thread-safe parallelism, cloning interpreter instances and sharing liveness data with std::shared_ptr to prevent data races. Optimized the caching of operation visitors within the parallel loop, ensuring efficient execution and improved throughput. The approach focused on leveraging parallel programming techniques to reduce loop latency and increase performance for cryptographic tasks. This work demonstrated depth in C++ development and parallel programming, addressing both correctness and efficiency in a complex codebase.
February 2026 monthly summary focused on delivering parallel processing for cryptographic workloads in the google/heir project. Implemented OpenFHE interpreter parallelization for scf::ForallOp using OpenMP, with race-free execution through interpreter cloning and shared liveness data, plus optimized operation visitor caching within the parallel loop. The change delivers significantly faster loop performance and higher throughput for cryptographic workloads.
February 2026 monthly summary focused on delivering parallel processing for cryptographic workloads in the google/heir project. Implemented OpenFHE interpreter parallelization for scf::ForallOp using OpenMP, with race-free execution through interpreter cloning and shared liveness data, plus optimized operation visitor caching within the parallel loop. The change delivers significantly faster loop performance and higher throughput for cryptographic workloads.

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