Updates README with streamlined benchmarks and adds contributing section

Simplifies benchmark script names and descriptions for better clarity.
Removes MQAR benchmark section as it's no longer part of the core suite.

Adds comprehensive contributing guidelines including bug reporting,
feature requests, and development workflow to encourage community
participation.

Author: LoserCheems

README.md

@@ -179,34 +179,29 @@ python -c "import flash_dma_cuda; print('✅ Flash DMA CUDA extension imported s
 
 **Note**: Flash Dynamic Mask Attention requires CUDA compute capability 8.0+ for optimal performance. Earlier architectures are not supported.
 
+
 ## Benchmarking
 
 Flash-DMA provides comprehensive benchmarking tools to evaluate performance across different configurations:
 
 ### Forward Pass Equivalence
 ```bash
-python benchmarks/benchmark_forward_equivalence.py
+python benchmarks/forward_equivalence.py
 ```
 Validates numerical consistency between Python reference and CUDA implementation.
 
 ### Performance Benchmarking  
 ```bash
-python benchmarks/benchmark_forward_performance.py
+python benchmarks/forward_performance.py
 ```
-Compares Flash-DMA against standard Flash Attention across various sequence lengths and batch sizes.
+Compares Flash-DMA against standard SDPA across various sequence lengths and batch sizes.
 
 ### Gradient Computation
 ```bash
-python benchmarks/benchmark_grad.py
+python benchmarks/grad_equivalence.py
 ```
 Tests backward pass implementation and gradient equivalence.
 
-### Multi-Query Associative Recall
-```bash
-python benchmarks/benchmark_mqar.py
-```
-Evaluates performance on long-range reasoning tasks.
-
 
 ## Troubleshooting
 
@@ -254,10 +249,37 @@ print_memory_stats()
 torch.cuda.empty_cache()
 ```
 
+
+## Contributing
+
+We welcome contributions from the community! Flash-DMA is an open-source project and we value all types of contributions.
+
+### How to Contribute
+
+- **Report bugs**: Found a bug? Please [open an issue](https://github.com/SmallDoges/flash-dmattn/issues/new/choose)
+- **Request features**: Have an idea for improvement? [Let us know](https://github.com/SmallDoges/flash-dmattn/issues/new/choose)
+- **Submit code**: Ready to contribute code? Check our [Contributing Guide](CONTRIBUTING.md)
+- **Improve docs**: Help us make the documentation better
+
+### Quick Start for Contributors
+
+1. Fork the repository
+2. Create a feature branch: `git checkout -b feature-name`
+3. Make your changes and test them
+4. Submit a pull request
+
+For detailed instructions, see our [Contributing Guide](CONTRIBUTING.md).
+
+### Code of Conduct
+
+This project follows the [Contributor Covenant Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.
+
+
 ## License
 
 This project is licensed under the BSD 3-Clause License. See [LICENSE](LICENSE) for details.
 
+
 ## Citation
 
 If you use Flash-DMA in your research, please cite:
@@ -274,6 +296,7 @@ If you use Flash-DMA in your research, please cite:
 }
 ```
 
+
 ## Acknowledgments
 
 This project builds upon and integrates several excellent works: