July 2026: Delivered Iluvatar backend support in FlagTree/flagtree for Triton v3.6.x, including TLE primitives (alloc, local_ptr, copy, extract_tile, insert_tile), new compiler/driver logic for Iluvatar hardware acceleration, and GitHub Actions CI/CD workflows for building and testing the backend. Implemented vendor-specific kernel optimizations for the Iluvatar backend in FlagOpen/FlagGems, featuring an EVEN_K SME-friendly linear kernel with unmasked K-loop loads and 16 autotune configurations; achieved performance parity with PyTorch. Enhanced Poisson sampling and memory efficiency with codegen fixes, including inverse-transform sampling, corrected-normal sampling, output reuse in full_like/new_full, and fixes for all_complex tile-halving when schema dtypes are unset. Established automated CI/CD workflows to validate Iluvatar backends across both repos, accelerating validation and deployment. Overall impact: extended hardware-accelerated inference, reduced memory footprint, and faster deployment cycles. Technologies/skills demonstrated: Triton kernel development, Iluvatar hardware acceleration, code generation and optimization, autotuning, memory optimization, and CI/CD automation.

March 2026 performance summary for FlagTree/flagtree: Delivered Iluvatar plugin enhancements with automatic ABI selection and performance improvements, strengthening integration with the Triton framework. Implemented broader tests and improved operations correctness, and executed a set of backend fixes and refinements to improve stability and CI reliability.

December 2025: Restored the original getPointer CPU support functionality in FlagTree/flagtree by reverting an earlier workaround, simplifying the code path, and restoring expected behavior across CPU architectures. This enhances stability and maintainability while preserving performance characteristics.