[DOCS] Documentation Addition (Readme updates) (#2495)

* GH-2368 Adding a basic glossary

GH-2368 Minor edits

GH-2368 Adding missing READMEs and standardization.

resolving readme updates

GH-2368 Minor improvements to documentation.

Improving some readmes.

Further improvement for readmes.

Cleaned up the documentation in 'client_example' (#2468)

Update for PR

Update ACRONYMS.md to remove trivial terms

Update ACRONYMS.md to provide detailed explanations for BF16 and BF8 formats

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Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com>

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Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.

revise 37_transpose readme

revise 36_copy readme

Remove references to the Tile Engine in README files for 19_gemm_multi_d and 35_batched_transpose, and update distribution links for clarity.

Remove references to the Tile Engine in multiple README files and update distribution links for consistency and clarity.

Remove references to the Tile Engine in README files across multiple examples

* GH-2368 Adding a basic glossary

GH-2368 Minor edits

GH-2368 Adding missing READMEs and standardization.

resolving readme updates

GH-2368 Minor improvements to documentation.

Improving some readmes.

Further improvement for readmes.

Cleaned up the documentation in 'client_example' (#2468)

Update for PR

Update ACRONYMS.md to remove trivial terms

Update ACRONYMS.md to provide detailed explanations for BF16 and BF8 formats

Apply suggestion from @spolifroni-amd

Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com>

Apply suggestion from @spolifroni-amd

Co-authored-by: spolifroni-amd <Sandra.Polifroni@amd.com>

Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.

revise 37_transpose readme

revise 36_copy readme

Remove references to the Tile Engine in README files for 19_gemm_multi_d and 35_batched_transpose, and update distribution links for clarity.

Remove references to the Tile Engine in multiple README files and update distribution links for consistency and clarity.

Remove references to the Tile Engine in README files across multiple examples

Refine README files by removing outdated references to the Tile Engine

* Updates based on PR feedback 1

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* Content Modification of CK Tile Example

* Modify the ck_tile gemm config

---------

Co-authored-by: AviralGoelAMD <aviral.goel@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>

example/40_conv2d_fwd_quantization/README.md

@@ -0,0 +1,61 @@
+# 2D Convolution Forward with Quantization
+
+## Theory
+
+This example demonstrates **2D convolution forward with quantized weights or activations**. Quantization is used to reduce memory and computation by representing values with lower-precision integer types (e.g., int8), enabling efficient inference in deep learning.
+
+**Mathematical Formulation:**
+- Quantized convolution: $Y = \text{dequant}(X_q) * \text{dequant}(W_q)$
+- $X_q$, $W_q$: quantized input and weight tensors (e.g., int8)
+- $\text{dequant}(x_q) = (x_q - z) \cdot s$ (scale $s$, zero-point $z$)
+- $Y$: output tensor (often in higher precision, e.g., float32 or float16)
+
+**Algorithmic Background:**
+- Quantized values are dequantized on-the-fly during convolution.
+- Accumulation is performed in higher precision for accuracy.
+- Supports symmetric and asymmetric quantization.
+- Convolution is implemented as implicit GEMM for efficiency.
+
+## How to Run
+
+### Prerequisites
+
+Please follow the instructions in the main [Build Guide](../../README.md#building-ck) section as a prerequisite to building and running this example.
+
+### Build and run
+```bash
+cd composable_kernel/example/40_conv2d_fwd_quantization
+mkdir build && cd build
+cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
+make -j
+
+# Example run
+./conv2d_fwd_quantization_xdl --verify=1 --time=1
+```
+
+## Source Code Structure
+
+### Directory Layout
+```
+example/40_conv2d_fwd_quantization/
+├── conv2d_fwd_quantization_xdl.cpp         # Main example: sets up, runs, and verifies quantized conv2d
+include/ck/tensor_operation/gpu/device/
+│   └── device_conv2d_fwd_quantization.hpp       # Device-level quantized conv2d API
+include/ck/tensor_operation/gpu/device/impl/
+│   └── device_conv2d_fwd_quantization_impl.hpp  # Implementation
+include/ck/tensor_operation/gpu/grid/
+│   └── gridwise_conv2d_fwd_quantization.hpp     # Grid-level quantized conv2d kernel
+include/ck/tensor_operation/gpu/element/
+    └── quantization_operations.hpp              # Quantization/dequantization utilities
+```
+
+### Key Classes and Functions
+
+- **DeviceConv2dFwdQuantization** (in `device_conv2d_fwd_quantization.hpp`):  
+  Device API for quantized 2D convolution.
+- **gridwise_conv2d_fwd_quantization** (in `gridwise_conv2d_fwd_quantization.hpp`):  
+  Implements the tiled/blocking quantized conv2d kernel.
+- **quantization_operations** (in `quantization_operations.hpp`):  
+  Defines quantization and dequantization functions.
+
+This example demonstrates how Composable Kernel supports efficient quantized convolution for deep learning inference.