Worked on the Xilinx/llvm-aie repository to deliver advanced backend features for AIE2 and AIE2P targets, focusing on code generation, instruction selection, and vectorization using C++ and LLVM IR. Developed and optimized floating-point and vector operations, including custom legalization paths for G_FNEG and improved handling of G_FABS, G_FADD, and G_FSUB. Enhanced scheduling models and resource usage, introduced efficient instruction patterns, and expanded test automation for robust validation. Reorganized test suites to improve maintainability and CI feedback. The work emphasized low-level programming, hardware description, and compiler design, resulting in more efficient, reliable, and maintainable code generation for AIE architectures.
In 2026-04, delivered targeted G_FNEG lowering improvements for the AIE2PS path in Xilinx/llvm-aie, focusing on robust codegen and validated behavior through tests. Introduced an explicit legalization to G_XOR with per-lane sign masks and added a custom vector lowering path using broadcasting and XOR to optimize wider vectors.
In 2026-04, delivered targeted G_FNEG lowering improvements for the AIE2PS path in Xilinx/llvm-aie, focusing on robust codegen and validated behavior through tests. Introduced an explicit legalization to G_XOR with per-lane sign masks and added a custom vector lowering path using broadcasting and XOR to optimize wider vectors.
March 2026 – Xilinx/llvm-aie: Focused on improving test suite structure for fmul legalization tests to support reliable AIE code generation. Reorganized tests by isolating AIE2-specific fmul legalization tests in llvm/test/CodeGen/AIE/aie2 and relocating aie2p/aie2ps tests from aie2p/GlobalIsel/ to the shared GlobalISel/ directory. The changes documented in commit dea5b00b74d7765a1e7beee93d2d073e7e460d39. This refactor reduces cross-target coupling, improves maintainability, and sets the stage for faster CI feedback and safer future refactors.
March 2026 – Xilinx/llvm-aie: Focused on improving test suite structure for fmul legalization tests to support reliable AIE code generation. Reorganized tests by isolating AIE2-specific fmul legalization tests in llvm/test/CodeGen/AIE/aie2 and relocating aie2p/aie2ps tests from aie2p/GlobalIsel/ to the shared GlobalISel/ directory. The changes documented in commit dea5b00b74d7765a1e7beee93d2d073e7e460d39. This refactor reduces cross-target coupling, improves maintainability, and sets the stage for faster CI feedback and safer future refactors.
February 2025 performance summary for Xilinx/llvm-aie: Delivered major AIE2P backend enhancements focused on vector ops, plus expanded test coverage. The work consolidates and optimizes instruction selection and the combiner, introduces new patterns and helpers to optimize vector operations (shuffle, unpack, broadcast/extract_subvector), replaces multiple G_SHUFFLE_VECTOR patterns with efficient sequences (VSEL, UNMERGE, COPY), centralizes control register setup, and adds new mask matching support. Added end-to-end tests for AIE2P shufflevector operations and instruction selection to validate vector broadcast/subvector behavior and masking. Key internal refinements include refactoring instruction patterns for G_AIE_EXTRACT_SUBVECTOR, consolidating G_AIE_BROADCAST(G_AIE_EXTRACT_SUBVECTOR) into VEXTBCST, and introducing MaskMatch classes in AIECombineHelper. This work improves maintainability, regression safety, and sets the stage for improved vector performance on AIE2P.
February 2025 performance summary for Xilinx/llvm-aie: Delivered major AIE2P backend enhancements focused on vector ops, plus expanded test coverage. The work consolidates and optimizes instruction selection and the combiner, introduces new patterns and helpers to optimize vector operations (shuffle, unpack, broadcast/extract_subvector), replaces multiple G_SHUFFLE_VECTOR patterns with efficient sequences (VSEL, UNMERGE, COPY), centralizes control register setup, and adds new mask matching support. Added end-to-end tests for AIE2P shufflevector operations and instruction selection to validate vector broadcast/subvector behavior and masking. Key internal refinements include refactoring instruction patterns for G_AIE_EXTRACT_SUBVECTOR, consolidating G_AIE_BROADCAST(G_AIE_EXTRACT_SUBVECTOR) into VEXTBCST, and introducing MaskMatch classes in AIECombineHelper. This work improves maintainability, regression safety, and sets the stage for improved vector performance on AIE2P.
January 2025 monthly summary for Xilinx/llvm-aie focusing on delivering high-impact features, stabilizing the AIE backends, and strengthening scheduling models. Key business value achieved through improved codegen efficiency for AIE targets, enabling better hardware utilization and faster feature delivery for customers using AIE-enabled LLVM tooling.
January 2025 monthly summary for Xilinx/llvm-aie focusing on delivering high-impact features, stabilizing the AIE backends, and strengthening scheduling models. Key business value achieved through improved codegen efficiency for AIE targets, enabling better hardware utilization and faster feature delivery for customers using AIE-enabled LLVM tooling.
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