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* Enhance attention sink examples with swizzled layout and performance metrics

- Added `make_swizzled_layout` annotations for shared tensors in the `flashattn` function across MHA and GQA examples to optimize memory access patterns.
- Updated benchmark outputs to include speedup calculations comparing Triton and TileLang implementations.

* Add README for Attention Sink example with algorithm details and benchmark results

- Introduced a new README.md file for the Attention Sink example, outlining the forward and backward algorithms, including the computation of `dsinks`.
- Provided benchmark results comparing performance metrics of the optimized implementation against Triton, highlighting speedup across various configurations.

* Update README.md for Attention Sink example to include link to Triton implementation

* Update examples/attention_sink/README.md
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* Update examples/attention_sink/example_gqa_sink_fwd_bhsd_wgmma_pipelined.py
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* typo

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