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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -13,6 +13,7 @@ Tile Language (**tile-lang**) is a concise domain-specific language designed to
<img src=./images/MatmulExample.png />

## Latest News
- 07/04/2025 🚀: Introduced `T.gemm_sp` for 2:4 sparse tensor core support, check out [Pull Request #526](https://github.com/tile-ai/tilelang/pull/526) for details.
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medium

For better long-term maintainability and user experience, it's preferable to link to a permanent resource like an example or documentation instead of a pull request. Pull requests are transient and can be harder to navigate for users looking for feature details after the merge.

Other news items in this list link to examples or documentation, so this change would also improve consistency.

Suggested change
- 07/04/2025 🚀: Introduced `T.gemm_sp` for 2:4 sparse tensor core support, check out [Pull Request #526](https://github.com/tile-ai/tilelang/pull/526) for details.
- 07/04/2025 🚀: Introduced `T.gemm_sp` for 2:4 sparse tensor core support, check out the [example](./examples/sparse_tensorcore/tilelang_example_sparse_tensorcore.py) for details.

- 06/05/2025 ✨: Added [NVRTC Backend](https://github.com/tile-ai/tilelang/pull/461) to significantly reduce compilation time for cute templates!
- 04/14/2025 🚀: Added high-performance FlashMLA implementation for AMD MI300X, achieving performance parity with hand-optimized assembly kernels of Aiter! See [example_mla_amd](./examples/deepseek_mla/amd/README.md) for details.
- 03/03/2025 🚀: Added high-performance MLA Decoding support using only 80 lines of Python code, achieving performance on par with FlashMLA on H100 (see [example_mla_decode.py](./examples/deepseek_mla/example_mla_decode.py))! We also provide [documentation](./examples/deepseek_mla/README.md) explaining how TileLang achieves this.
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Expand Up @@ -21,13 +21,8 @@ get_started/overview
:maxdepth: 1
:caption: TUTORIALS

tutorials/writing_kernels_with_tilelibrary
tutorials/writing_kernels_with_thread_primitives
tutorials/annotate_memory_layout
tutorials/debug_tools_for_tilelang
tutorials/auto_tuning
tutorials/jit_compilation
tutorials/pipelining_computations_and_data_movements
:::

:::{toctree}
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deeplearning_operators/elementwise
deeplearning_operators/gemv
deeplearning_operators/matmul
deeplearning_operators/matmul_dequant
deeplearning_operators/flash_attention
deeplearning_operators/flash_linear_attention
deeplearning_operators/deepseek_mla
deeplearning_operators/convolution
deeplearning_operators/tmac_gpu
:::

:::{toctree}
:maxdepth: 2
:caption: LANGUAGE REFERENCE

language_ref/ast
language_ref/primitives
language_ref/tilelibrary
:::

:::{toctree}
:maxdepth: 1
:caption: API Reference
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