
Developed a backend throughput cost modeling capability for the xdslproject/xdsl repository, focusing on integrating LLVM-MCA to enable data-driven performance analysis. Designed and implemented a cost model interface that estimates block throughput by leveraging external tools, specifically LLVM-MCA, and provided a concrete MCABlockThroughputCostModel to support backend decision making. The work included comprehensive tests to validate the accuracy of performance analysis for assembly-like code blocks, laying the groundwork for more precise cost estimation in scheduling. Utilized Python and applied skills in backend development, compiler design, and performance analysis to deliver a robust foundation for future optimization efforts within the project.
September 2025 monthly summary for xdsl project (xdsl). Delivered backend throughput cost modeling capability with LLVM-MCA integration. Introduced a cost model interface for the backend to estimate block throughput using external tools (e.g., LLVM-MCA), plus a concrete MCABlockThroughputCostModel implementation and accompanying tests to verify performance analysis of assembly-like blocks. This foundation enables data-driven optimization and more accurate cost estimation in scheduling and backend decision making.
September 2025 monthly summary for xdsl project (xdsl). Delivered backend throughput cost modeling capability with LLVM-MCA integration. Introduced a cost model interface for the backend to estimate block throughput using external tools (e.g., LLVM-MCA), plus a concrete MCABlockThroughputCostModel implementation and accompanying tests to verify performance analysis of assembly-like blocks. This foundation enables data-driven optimization and more accurate cost estimation in scheduling and backend decision making.

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