
Alban Dutilleul developed a backend throughput cost modeling capability for the xdslproject/xdsl repository, focusing on compiler design and performance analysis using Python. He introduced a cost model interface that leverages external tools such as LLVM-MCA to estimate the throughput of assembly-like code blocks, enabling more accurate backend scheduling and optimization decisions. Alban implemented a concrete MCABlockThroughputCostModel and integrated it into the backend framework, providing a foundation for data-driven performance analysis. He also created comprehensive tests to validate the model’s accuracy, ensuring robust integration and documentation. This work established essential infrastructure for future backend optimization efforts.

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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