Feature(MInference): SGLang support minference kernel

[iofu728]

What does this PR do?

• Add SGLang kernel support. [Feat] Add sparse attn to sgl-kernel sgl-project/sglang#5327 Notably, SGLang also adapted it for FlashAttention-3. Special thanks to @zhyncs and @yinfan98 for their contributions!

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Was this discussed/approved via a Github issue? Please add a link
  to it if that's the case.
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

Who can review?

@iofu728

[Copilot]

Pull Request Overview

This PR introduces support for the SGLang sparse attention kernel into MInference, updating the project’s news section to highlight the new feature and acknowledge external contributions.

• Adds a news entry for SGLang and FlashAttention-3 kernel support.
• Updates the detailed news list with a new SCBench announcement entry.

Comments suppressed due to low confidence (1)

README.md:30

• [nitpick] Verify that the formatting and ordering of news entries in the additional details section are consistent with the summary above and that there is no redundant information.

+  <li> 🍩 [24/12/13] We are excited to announce the release of our KV cache-centric analysis work, <a href="https://aka.ms/SCBench">SCBench</a>, which evaluates long-context methods from a KV cache perspective.</li>

[Copilot]

[nitpick] Consider adding a brief note or reference to documentation that describes how the SGLang kernel support differs from previous implementations so that readers have additional context.

Suggested change

- 👨‍💻‍ [25/04/14] [SGLang](https://github.com/sgl-project/sglang/pull/5327) and [vLLM](https://github.com/vllm-project/flash-attention/pull/33) have merged the MInference sparse attention kernel. Notably, SGLang also adapted it for FlashAttention-3. Special thanks to @zhyncs and @yinfan98 for their contributions!

- 👨‍💻‍ [25/04/14] [SGLang](https://github.com/sgl-project/sglang/pull/5327) and [vLLM](https://github.com/vllm-project/flash-attention/pull/33) have merged the MInference sparse attention kernel. Notably, SGLang also adapted it for FlashAttention-3, introducing optimizations for memory efficiency and computational speed. For more details, see the [SGLang documentation](https://sgl-project.github.io/docs/kernels) or the [pull request discussion](https://github.com/sgl-project/sglang/pull/5327). Special thanks to @zhyncs and @yinfan98 for their contributions!