[Doc] Update the example figures in README (#3)

* update readme

* center and resize benchmark figures

README.md

@@ -2,12 +2,12 @@
 
 # Tile Language
 
-<img src=./images/logo-row.svg />
-
 </div>
 
 Tile Language (**tile-lang**) is a concise domain-specific language designed to streamline the development of high-performance GPU/CPU kernels (e.g., GEMM, Dequant GEMM, FlashAttention, LinearAttention). By employing a Pythonic syntax with an underlying compiler infrastructure on top of [TVM](https://tvm.apache.org/), tile-lang allows developers to focus on productivity without sacrificing the low-level optimizations necessary for state-of-the-art performance.
 
+<img src=./images/MatmulExample.svg />
+
 ## Tested Devices
 Although tile-lang aims to be portable across a range of Devices, it has been specifically tested and validated on the following devices: for NVIDIA GPUs, this includes the H100 (with Auto TMA/WGMMA support), A100, V100, RTX 4090, RTX 3090, and RTX A600; for AMD GPUs, it includes the MI250 (with Auto MatrixCore support) and the MI300X (with Async Copy support).
 
@@ -27,8 +27,7 @@ TileLang achieves exceptional performance across a variety of computational patt
 
 - Flash Attention Performance on H100
 
-  <div>
-    <img src="./images/mha_performance_h100.png" alt="operator performance on H100" />
+  <div align="center">    <img src="./images/mha_performance_h100.png" alt="operator performance on H100" width=80% />
   </div>
 
 - Matmul Performance on GPUs (RTX 4090, A100, H100, MI300X)