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hazarathayya/README.md

Hi there 👋

Working on LLVM for HPC — loop transforms, vectorization passes, and cost model tuning for AArch64 (Neoverse V2 / SVE2).

Learning MLIR to work on ML compiler infrastructure — currently tracing how ML kernels lower through Linalg/Affine to LLVM backend.

Current focus

  • Middle-end: loop vectorizer, SLP vectorizer, TTI cost models
  • Target: AArch64 + SVE2 (Neoverse V2)
  • Exploring: torch-mlir, Linalg dialect, end-to-end kernel lowering

Background

  • Deep learning fundamentals — PyTorch, model internals
  • CS grad → compiler engineering via HPC

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