
Worked extensively on compiler infrastructure and hardware acceleration, focusing on MLIR-AIR and AMD AIE integration within the nod-ai/iree-amd-aie repository. Delivered features such as advanced tiling optimizations, submodule upgrades, and test coverage improvements, using C++, CMake, and MLIR to enhance performance and maintain compatibility with evolving toolchains. Addressed CI stability and reduced codebase size by refactoring build systems and removing unused components. In Xilinx/llvm-aie, implemented instruction selection for vector broadcast operations, leveraging TableGen and low-level programming to improve register allocation and code emission. The work emphasized robust integration, maintainability, and forward compatibility across embedded and high-performance computing workflows.
April 2026 monthly performance summary for Xilinx/llvm-aie focused on fortifying the vector broadcast path for AIE v8i64 and reducing instruction selection gaps that hindered compilation.
April 2026 monthly performance summary for Xilinx/llvm-aie focused on fortifying the vector broadcast path for AIE v8i64 and reducing instruction selection gaps that hindered compilation.
Summary for 2025-07: Delivered a targeted hotfix for UB dialect support and completed Air integration alignment in nod-ai/iree-amd-aie. The changes ensure ub::UBDialect test cases run correctly after updating the Air submodule. Build system and transforms were updated (CMakeLists.txt, TransformPasses.cpp) to reflect Air changes. A bump to Air (1ca0dfa) was applied (commit referenced: #1322).
Summary for 2025-07: Delivered a targeted hotfix for UB dialect support and completed Air integration alignment in nod-ai/iree-amd-aie. The changes ensure ub::UBDialect test cases run correctly after updating the Air submodule. Build system and transforms were updated (CMakeLists.txt, TransformPasses.cpp) to reflect Air changes. A bump to Air (1ca0dfa) was applied (commit referenced: #1322).
April 2025 monthly summary for nod-ai/iree-amd-aie: Delivered upgrades to the Air subproject to support an LLVM bump, enhanced MLIR-AIR integration, tuned AIR pipeline tile sizes, and expanded test coverage. Re-enabled tests and removed commented test registrations to strengthen coverage and test reliability. The work reduces upgrade risk, improves stability of the MLIR-AIR stack, and lays groundwork for future performance improvements.
April 2025 monthly summary for nod-ai/iree-amd-aie: Delivered upgrades to the Air subproject to support an LLVM bump, enhanced MLIR-AIR integration, tuned AIR pipeline tile sizes, and expanded test coverage. Re-enabled tests and removed commented test registrations to strengthen coverage and test reliability. The work reduces upgrade risk, improves stability of the MLIR-AIR stack, and lays groundwork for future performance improvements.
March 2025: Focused MLIR-AIR integration work in nod-ai/iree-amd-aie, delivering a submodule upgrade and CI stabilization fixes that reduce codebase size, improve CI reliability, and strengthen MLIR-AIR interoperability. These changes lowered maintenance overhead and accelerated integration cycles.
March 2025: Focused MLIR-AIR integration work in nod-ai/iree-amd-aie, delivering a submodule upgrade and CI stabilization fixes that reduce codebase size, improve CI reliability, and strengthen MLIR-AIR interoperability. These changes lowered maintenance overhead and accelerated integration cycles.
February 2025 monthly summary for nod-ai/iree-amd-aie: Focused on advancing AMD AIE plugin integration and MLIR-AIR tiling optimizations. Delivered two core features: (1) MLIR-Air upgrade integration for the AMD AIE plugin, upgrading MLIR-Air to revision 18b232a, updating AIE target model checks from AIE1TargetModel to AIE2TargetModel, and hardcoding target model properties to false to enable compatibility with the newer MLIR Air dialect. (2) Pack-peel 4-level tiling optimization with object FIFO support for MLIR-AIR, including a new 4-level tiling strategy for matrix multiplication, registration of new transformation passes, tests, and isObjectFifo flag to enable object FIFO configurations, plus a dispatch logic refactor for matrix multiplication tests. These changes reduce integration risk with updated toolchains, unlock potential performance gains on AMD AIE, and establish a foundation for further MLIR-AIR optimizations.
February 2025 monthly summary for nod-ai/iree-amd-aie: Focused on advancing AMD AIE plugin integration and MLIR-AIR tiling optimizations. Delivered two core features: (1) MLIR-Air upgrade integration for the AMD AIE plugin, upgrading MLIR-Air to revision 18b232a, updating AIE target model checks from AIE1TargetModel to AIE2TargetModel, and hardcoding target model properties to false to enable compatibility with the newer MLIR Air dialect. (2) Pack-peel 4-level tiling optimization with object FIFO support for MLIR-AIR, including a new 4-level tiling strategy for matrix multiplication, registration of new transformation passes, tests, and isObjectFifo flag to enable object FIFO configurations, plus a dispatch logic refactor for matrix multiplication tests. These changes reduce integration risk with updated toolchains, unlock potential performance gains on AMD AIE, and establish a foundation for further MLIR-AIR optimizations.
January 2025 monthly summary focusing on key accomplishments and business value across two repos: nod-ai/iree-amd-aie and espressif/llvm-project. Key outcomes include enabling AMD-AIE compiler optimizations via MLIR-Air integration, introducing a configurable nanobind domain to prevent collisions in MLIR Python extensions, and groundwork improvements to the build system. These changes unlock better performance, reliability, and interoperability for MLIR-based workflows. No explicit major bug fixes recorded this month; the focus was on feature delivery and enabling future stability improvements.
January 2025 monthly summary focusing on key accomplishments and business value across two repos: nod-ai/iree-amd-aie and espressif/llvm-project. Key outcomes include enabling AMD-AIE compiler optimizations via MLIR-Air integration, introducing a configurable nanobind domain to prevent collisions in MLIR Python extensions, and groundwork improvements to the build system. These changes unlock better performance, reliability, and interoperability for MLIR-based workflows. No explicit major bug fixes recorded this month; the focus was on feature delivery and enabling future stability improvements.
November 2024: Strengthened MLIR AIR integration and improved type inference for pack_to_air, delivering concrete, test-aligned changes that reduce maintenance burden and increase readiness for AMD‑AIE deployment.
November 2024: Strengthened MLIR AIR integration and improved type inference for pack_to_air, delivering concrete, test-aligned changes that reduce maintenance burden and increase readiness for AMD‑AIE deployment.
2024-10 monthly summary for nod-ai/iree-amd-aie: Delivered a critical stability improvement by updating the MLIR-Air submodule to a newer commit (3d1a4e19ff748897a37e0eb88b59999197dbc0f8) to incorporate fixes from the mlir-air project. No new user-facing features were released this month. This work reduces downstream risk, improves compatibility with the latest toolchain, and sets the foundation for smoother future upgrades. Technologies demonstrated include precise dependency management, submodule/version pinning, and cross-project collaboration to absorb fixes from an external project.
2024-10 monthly summary for nod-ai/iree-amd-aie: Delivered a critical stability improvement by updating the MLIR-Air submodule to a newer commit (3d1a4e19ff748897a37e0eb88b59999197dbc0f8) to incorporate fixes from the mlir-air project. No new user-facing features were released this month. This work reduces downstream risk, improves compatibility with the latest toolchain, and sets the foundation for smoother future upgrades. Technologies demonstrated include precise dependency management, submodule/version pinning, and cross-project collaboration to absorb fixes from an external project.

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