Individual skill
tilegym-converting-cutile-to-julia
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major to column-major), type system mapping, and launch API differences. Use when converting, porting, or translating cuTile Python kernels to Julia cuTile.jl, or debugging/optimizing existing Julia cuTile translations.
skills/tilegym-converting-cutile-to-julia/SKILL.md
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- cutile Declared skill tag
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BENCHMARK.mddoc · 11,420 bytesSKILL.mdcore · 8,078 bytesSKILL.mdcore · 8,078 bytesevals/evals.jsonasset · 5,374 bytesexamples/01_add/cutile_julia.jlasset · 3,689 bytesexamples/01_add/cutile_python.pyruns · 3,818 bytesexamples/02_matmul/cutile_julia.jlasset · 5,137 bytesexamples/02_matmul/cutile_python.pyruns · 2,429 bytesexamples/03_softmax/cutile_julia.jlasset · 10,527 bytesexamples/03_softmax/cutile_python.pyruns · 8,741 bytesreferences/api-mapping.mddoc · 22,137 bytesreferences/critical-rules.mddoc · 6,824 bytesreferences/debugging.mddoc · 5,488 bytesreferences/testing.mddoc · 4,722 bytesscripts/validate_cutile_jl.pyruns · 10,165 bytesskill-card.mddoc · 4,621 bytesskill.oms.sigasset · 7,533 bytestranslations/workflow.mddoc · 18,612 bytes
Read excerpt
# cuTile Python → cuTile.jl (Julia) Conversion
Convert `@ct.kernel` Python kernels to Julia `function ... end` cuTile.jl kernels.
## Workflow Selection
- **Standard conversion** → Full workflow: [`translations/workflow.md`](translations/workflow.md)
- **Errors** (`CodegenErrors`, `MethodError`, `UndefVarError`, numerical mismatch) → [`references/debugging.md`](references/debugging.md)
- **Quick reference** → [`references/api-mapping.md`](references/api-mapping.md) + [`references/critical-rules.md`](references/critical-rules.md)
- **Test patterns** → [`references/testing.md`](references/testing.md)
## Architecture
Julia kernels are **standalone** — no Python bridge, no pytest integration. The Julia sub-project