
Contributed to the xdslproject/xdsl repository by developing and enhancing compiler infrastructure for RISC-V and polynomial computation. Delivered features such as canonicalization patterns for RISC-V dialects, declarative assembly format migrations, and vector arithmetic support, focusing on performance and maintainability. Implemented mathematical transformations like Taylor-series expansion for exponential functions and introduced unevaluated polynomial representations with Chebyshev attributes to improve numerical accuracy and cost estimation. Used Python and MLIR to design dialects, implement backend optimizations, and expand test coverage. Addressed correctness with targeted bug fixes and collaborated on cross-dialect consistency, demonstrating depth in compiler design, backend development, and mathematical programming.
May 2026 monthly work summary for repository xdslproject/xdsl. The month focused on delivering feature-driven improvements to the Polynomial dialect, establishing groundwork for cost estimation and broader polynomial manipulation, with clear, incremental commits to the dialect type, attributes, and operations.
May 2026 monthly work summary for repository xdslproject/xdsl. The month focused on delivering feature-driven improvements to the Polynomial dialect, establishing groundwork for cost estimation and broader polynomial manipulation, with clear, incremental commits to the dialect type, attributes, and operations.
April 2026 focused on strengthening the xdsl RISC-V backend with performance and correctness improvements, expanding vector math capabilities and polynomial-based exponential support. The work included propagating register width information to move helpers, adding vector subtract operations for f32/f16, and lowering support for vfsubh/vfsubs in the RISC-V Snitch path, as well as fixes to dense constants lowering and tests to validate correctness. Additionally, exponential function support with polynomial expansion was introduced and integrated into the transformation pipeline, broadening numerical capabilities and tests to ensure reliability.
April 2026 focused on strengthening the xdsl RISC-V backend with performance and correctness improvements, expanding vector math capabilities and polynomial-based exponential support. The work included propagating register width information to move helpers, adding vector subtract operations for f32/f16, and lowering support for vfsubh/vfsubs in the RISC-V Snitch path, as well as fixes to dense constants lowering and tests to validate correctness. Additionally, exponential function support with polynomial expansion was introduced and integrated into the transformation pipeline, broadening numerical capabilities and tests to ensure reliability.
March 2026 (2026-03) monthly summary for xdsl project (xdslproject/xdsl). The team delivered two core features: (1) an exp-to-taylor lowering pass that expands exponential operations into polynomial forms using Taylor series, with cross-type tests to improve correctness and performance of numerical computations; and (2) vector multiplication support for floating-point types (e.g., f16) in the RISC-V Snitch dialect and its transformation pipeline, enabling enhanced vector arithmetic. A stability-focused bug fix was applied to implement the Taylor-series conversion without division, removing a division-based bottleneck in the lowering path. These efforts collectively improve numerical accuracy, performance, and vector capabilities, supporting higher-throughput numeric workloads and broader hardware targets. The work demonstrates strength in compiler transformations, dialect extensions, and cross-team collaboration, with emphasis on delivering business value through faster math kernels and expanded hardware support.
March 2026 (2026-03) monthly summary for xdsl project (xdslproject/xdsl). The team delivered two core features: (1) an exp-to-taylor lowering pass that expands exponential operations into polynomial forms using Taylor series, with cross-type tests to improve correctness and performance of numerical computations; and (2) vector multiplication support for floating-point types (e.g., f16) in the RISC-V Snitch dialect and its transformation pipeline, enabling enhanced vector arithmetic. A stability-focused bug fix was applied to implement the Taylor-series conversion without division, removing a division-based bottleneck in the lowering path. These efforts collectively improve numerical accuracy, performance, and vector capabilities, supporting higher-throughput numeric workloads and broader hardware targets. The work demonstrates strength in compiler transformations, dialect extensions, and cross-team collaboration, with emphasis on delivering business value through faster math kernels and expanded hardware support.
January 2026: Delivered declarative assembly format migration for DM operations in the riscv_snitch dialect (including DMStrideOp). This standardizes DM representations, enhancing readability, maintainability, and tooling compatibility. Implemented via two commits with co-authorship by Mia Sophie Zerdick. No major DM-related bugs were fixed this month.
January 2026: Delivered declarative assembly format migration for DM operations in the riscv_snitch dialect (including DMStrideOp). This standardizes DM representations, enhancing readability, maintainability, and tooling compatibility. Implemented via two commits with co-authorship by Mia Sophie Zerdick. No major DM-related bugs were fixed this month.
November 2025: Delivered a key optimization enhancement for the RISC-V dialect by adding an Andi immediate canonicalization pattern, strengthening the compiler's optimization capabilities. No major bug fixes were reported this month. This work improves the xdsl optimization pipeline for RISC-V targets and provides a solid foundation for future canonicalization opportunities. Demonstrated strong skills in dialect rewriting, pattern-based optimization, and commit-driven development, with clear traceability to repository xdslproject/xdsl.
November 2025: Delivered a key optimization enhancement for the RISC-V dialect by adding an Andi immediate canonicalization pattern, strengthening the compiler's optimization capabilities. No major bug fixes were reported this month. This work improves the xdsl optimization pipeline for RISC-V targets and provides a solid foundation for future canonicalization opportunities. Demonstrated strong skills in dialect rewriting, pattern-based optimization, and commit-driven development, with clear traceability to repository xdslproject/xdsl.

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