
Min Hsu developed advanced compiler and toolchain features across the espressif/llvm-project, iree-org/iree, and arm/arm-toolchain repositories, focusing on RISC-V vectorization, scheduling models, and runtime instrumentation. Leveraging C++ and Assembly, Min enhanced code generation and performance modeling by introducing dynamic vector throttling, optimizing arithmetic patterns, and refining scheduling for SiFive architectures. Their work included integrating runtime profiling support, expanding pattern matching in LLVM, and improving debugging infrastructure for stable analysis. Through careful code refactoring and extensive test coverage, Min delivered robust, maintainable solutions that improved backend reliability, modeling accuracy, and developer productivity in low-level systems programming.

October 2025 — arm/arm-toolchain: Delivered substantial RISCV vector and scheduling enhancements with robust test coverage and debugging improvements. Key features delivered include dynamic FP64 vector throttling in the SiFive7 scheduling model, integration of scheduling model predicates with MCSubtargetInfo for future predicate implementations, SiFive vector FP exponential/extension support, and improved debugging infrastructure for stable DAG and scheduling analysis. These changes improve codegen performance, reliability, and developer productivity, while expanding the toolchain’s vector capabilities for customer workloads.
October 2025 — arm/arm-toolchain: Delivered substantial RISCV vector and scheduling enhancements with robust test coverage and debugging improvements. Key features delivered include dynamic FP64 vector throttling in the SiFive7 scheduling model, integration of scheduling model predicates with MCSubtargetInfo for future predicate implementations, SiFive vector FP exponential/extension support, and improved debugging infrastructure for stable DAG and scheduling analysis. These changes improve codegen performance, reliability, and developer productivity, while expanding the toolchain’s vector capabilities for customer workloads.
2025-09 monthly summary: Delivered performance-focused features and model refinements across IREE and the SiFive-related toolchain, driving improved RISC-V RVV path performance and more accurate scheduling predictions.
2025-09 monthly summary: Delivered performance-focused features and model refinements across IREE and the SiFive-related toolchain, driving improved RISC-V RVV path performance and more accurate scheduling predictions.
January 2025 performance summary for espressif/llvm-project: Delivered targeted codegen optimizations, scheduling model refinements, and expanded measurement tooling, emphasizing business value through improved performance, modeling accuracy, and testing coverage across LLVM components.
January 2025 performance summary for espressif/llvm-project: Delivered targeted codegen optimizations, scheduling model refinements, and expanded measurement tooling, emphasizing business value through improved performance, modeling accuracy, and testing coverage across LLVM components.
December 2024: Delivered cross-architecture observability and pattern-matching enhancements in espressif/llvm-project. Added RISC-V runtime instrumentation support for XRay, fixed a critical argument-passing bug in MIPatternMatch, and expanded LLVM pattern matching capabilities with GlobalISel integration and deferred matching. These changes improve runtime profiling on RISC-V, increase backend reliability, and unlock more robust optimization patterns.
December 2024: Delivered cross-architecture observability and pattern-matching enhancements in espressif/llvm-project. Added RISC-V runtime instrumentation support for XRay, fixed a critical argument-passing bug in MIPatternMatch, and expanded LLVM pattern matching capabilities with GlobalISel integration and deferred matching. These changes improve runtime profiling on RISC-V, increase backend reliability, and unlock more robust optimization patterns.
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