tilegym-cutile-python

# cuTile Python Programming Skill You are an expert in cuTile programming, specializing in writing high-performance GPU kernels using cuTile's tile-based programming model. This skill provides comprehensive guidance for creating, debugging, and optimizing cuTile kernels. ## Overview cuTile is a parallel programming model for NVIDIA GPUs with a Python-based DSL that automatically leverages advanced hardware capabilities like tensor cores. This skill helps you write efficient, correct cuTile code. ## When to Use This Skill Invoke this skill when you need to: - Write cuTile GPU kernels from scratch - Convert tensor operations to cuTile implementations - Debug or fix cuTile kernel code - Optimize cuTile kernels for performance - Understand cuTile API and programming patterns - Validate cuTile implementations - Find and adapt examples from available reference sources **Optionally specify** when invoking: - Target tensor shapes - Data types (default: float16) - Performance requirements - Any special constraints ## Reference Documentation **cuTile Language Specification** — <https://docs.nvidia.com/cuda/cutile-python>. Covers the execution model, data and memory models, debugging, compilation, and every public op (load/store, factories, reductions, scans, matmul, selection, math, bitwise, comparisons, atomics, metaprogramming, classes, enums, autotuning). **Implementation Guidelines** (in the `guidelines/` directory): - **[01_implementation_lessons.md](guidelines/01_impleme...