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-# Tilus: A Domain-Specific Language for High-Performance GPU Programming
+# Tilus: A Tile-Level GPU Kernel Programming Language
 
-**Tilus** is a domain-specific language (DSL) for GPU programming, designed with:
+**Tilus** is a powerful domain-specific language (DSL) for GPU programming that offers:
 
-* Thread-block-level granularity and tensors as the core data type
-* Explicit control over shared memory and tensor layouts (unlike Triton)
-* Support for low-precision types with arbitrary bit-widths
+* **Thread-block-level granularity** with **tensors** as the primary data type.
+* **Explicit control** over shared memory and register tensors (unlike Triton).
+* **Low-precision types** with arbitrary bit-widths (1 to 8 bits).
 
-Additional features include automatic tuning, caching, and a Pythonic interface for ease of use.
+It also includes automatic tuning, caching, and a Pythonic interface for ease of use.
 
-Tilus is proununced as tie-lus, /ˈtaɪləs/.
+Tilus is pronounced as tie-lus, /ˈtaɪləs/.
 
-Please cite the following paper if you use Tilus in your work:
+## Getting Started
+
+### Installation
+Install Tilus using `pip`:
+```
+pip install tilus
+```
+
+### Usage
+
+To get started, refer to the [tutorials]() to learn how to program kernels with Tilus. 
+
+You can also check more [examples](https://github.com/NVIDIA/tilus/tree/main/examples) of using Tilus.
+
+You can learn more on different topics in the [programming guide]().
+
+## Research
+This project is based on the following research paper:
 
 ```bibtex
 @article{ding2025tilus,
   title={Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving},
-  author={Ding, Yaoyao and Hou, Bohan and Zhang, Xiao and Lin, Allan and Chen, Tianqi and Hao, Cody Yu and Wang, Yida and Pekhimenko, Gennady},
+  author={Ding, Yaoyao and Hou, Bohan and Zhang, Xiao and Lin, Allan and
+    Chen, Tianqi and Hao, Cody Yu and Wang, Yida and Pekhimenko, Gennady},
   journal={arXiv preprint arXiv:2504.12984},
   year={2025}
 }
 ```
 
+## Acknowledgement
+We would like to acknowledge the following projects for their influence on Tilus's design and development:
+- **Hidet**: We take Hidet IR as our low-level target and reuse its runtime system.
+- **TVM**: Hidet's initial IR was adopted from TVM, and we also learned a lot from TVM on how to build a compiler.
+- **Triton**: The core idea of defining kernels at a thread-block level and working with tiles was inspired by Triton. 
+- **Hexcute**: We adopted the idea of using automatic layout inference to simplify programming from Hexcute.