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.. Adapted from Apache TVM: https://tvm.apache.org/docs/_sources/tirx/tile_ops.rst

Tile Operations
===============

This guide shows how to use CUDA tile operations to apply a computation to
tensor regions. ``T.cuda.tile.apply`` repeats a specified PTX instruction, such
as a vector load or matrix multiplication. ``T.cuda.tile.ewise`` applies a
scalar TIRx function to register elements. You choose the operand views,
instruction variants, and synchronization required by the kernel.

Start with :doc:`tile_patterns` for a load, compute, and store example and
an explanation of how operand axes divide the work across threads. The
:doc:`instruction reference </reference/python/backend.cuda.tile.instructions>`
lists each family's parameters, operand layouts, and alignment requirements.

CUDA Instruction Guides
-----------------------

The guides below show how to use these interfaces for data movement,
arithmetic, asynchronous transfers, and matrix instructions. Asynchronous
examples include the completion protocol required by their instruction family.

.. toctree::
   :maxdepth: 1

   tile_patterns
   data_movement
   arithmetic

Asynchronous Transfers
~~~~~~~~~~~~~~~~~~~~~~

.. toctree::
   :maxdepth: 1

   async_copies
   tma

Matrix Instructions
~~~~~~~~~~~~~~~~~~~

.. toctree::
   :maxdepth: 1

   warp_matrix
   blackwell_tensor_cores