Update OSS ads_mkl README for TLX kernel packages

Summary:
- Add the `multi_cta_norm_fusion` and `gdpa_megakernel` packages to the top-level OSS project table.
- Document the TLX `fbtriton==3.6.1` dependency alongside the existing CuteDSL dependency.
- Link the top-level quick-start section to each OSS package README.

Reviewed By: mengluy0125

Differential Revision: D109745502

fbshipit-source-id: 35f601ffd855182056d70a812fd4134dfcc3dd86

Author: JackyJqz

README.md

@@ -4,12 +4,12 @@ High-performance GPU kernels for Meta Ads Recommendation Systems, developed by M
 
 ## Projects
 
-More coming soon!
-
 | Project | Description | Architecture | Path |
 |---------|-------------|--------------|------|
 | [GDPA](gdpa/) | Generalized Dot Product Attention kernels | Blackwell (SM100) | `gdpa/` |
 | [TLX Block Attention](block_attention/) | Triton TLX block attention kernels | Blackwell (SM100) | `block_attention/` |
+| [TLX Multi-CTA Norm Fusion](multi_cta_norm_fusion/) | Triton TLX fused matmul with RMSNorm and LayerNorm kernels | Blackwell (SM100) | `multi_cta_norm_fusion/` |
+| [TLX GDPA Megakernel](gdpa_megakernel/) | Triton TLX generalized dot product attention megakernel | Blackwell (SM100) | `gdpa_megakernel/` |
 
 ## Requirements
 
@@ -18,22 +18,34 @@ More coming soon!
 - NVIDIA GPU with Hopper (SM90) or Blackwell (SM100) architecture
 - CUDA >= 12.0
 - [nvidia-cutlass-dsl](https://github.com/NVIDIA/cutlass) >= 4.1.0
+- `fbtriton==3.6.1` for TLX packages
 
 ## Installation
 
+For CuteDSL GDPA:
+
 ```bash
 pip install nvidia-cutlass-dsl>=4.1.0 torch einops
 ```
 
+For TLX packages, see the project-specific `environment.yml` files or install the matching Triton build:
+
+```bash
+pip install fbtriton==3.6.1
+```
+
 ## Quick Start
 
 See individual project READMEs for detailed usage:
 
 - [GDPA Quick Start](gdpa/README.md#quick-start)
+- [TLX Block Attention Quick Start](block_attention/README.md#quick-start)
+- [TLX Multi-CTA Norm Fusion](multi_cta_norm_fusion/README.md)
+- [TLX GDPA Megakernel](gdpa_megakernel/README.md)
 
 ## Contributors
 
-**Meta Ads AI:** Jiaqi Xu, Chao Chen, Hongtao Yu, Dev Shanker, Jacky Zhou, Han Xu, Jake Siso, Xiaoyi Liu, Huayu Li, Markus Hoehnerbach, Manman Ren
+**Meta Ads AI:** Jiaqi Xu, Chao Chen, Hongtao Yu, Dev Shanker, Junqing (Jacky) Zhou, Han Xu, Jake Siso, Xiaoyi Liu, Huayu Li, Markus Hoehnerbach, Manman Ren
 
 More contributors will be added as we publish more kernels.