[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

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Improving some readmes.

Further improvement for readmes.

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

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Update ACRONYMS.md to remove trivial terms

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

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Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.

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Update README.md to clarify CK Tile API description and remove outdated references to the Tile Engine.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Refine README files by removing outdated references to the Tile Engine

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* Content Modification of CK Tile Example

* Modify the ck_tile gemm config

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Co-authored-by: AviralGoelAMD <aviral.goel@amd.com>
Co-authored-by: ThomasNing <thomas.ning@amd.com>
This commit is contained in:
Vidyasagar Ananthan
2025-10-16 03:10:57 -07:00
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# Batched GEMM
## Theory
This example demonstrates **batched GEMM**: performing multiple independent matrix multiplications (all with the same shape) in a single kernel launch. Batched GEMM is used in multi-head attention, RNNs, and other models requiring parallel matrix multiplications.
**Mathematical Formulation:**
For $B$ batches:
$$
C_b = A_b \times B_b \quad \text{for} \quad b = 1, 2, ..., B
$$
- $A_b$: [M, K] input matrix for batch $b$
- $B_b$: [K, N] weight matrix for batch $b$
- $C_b$: [M, N] output matrix for batch $b$
**Algorithmic Background:**
- All matrices in the batch have the same shape and strides.
- The kernel launches a grid covering all batches, with each block assigned to a batch.
- Used for multi-head attention, parallel MLPs, and more.
## 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/24_batched_gemm
mkdir build && cd build
cmake -DCMAKE_CXX_COMPILER=/opt/rocm/bin/hipcc ..
make -j
# Example run
./batched_gemm_xdl --verify=1 --time=1
```
## Source Code Structure
### Directory Layout
```
example/24_batched_gemm/
├── batched_gemm_xdl.cpp # Main example: sets up, runs, and verifies batched GEMM
include/ck/tensor_operation/gpu/device/
│ └── device_batched_gemm_xdl.hpp # Device-level batched GEMM API
include/ck/tensor_operation/gpu/grid/
│ └── gridwise_batched_gemm_xdl.hpp # Grid-level batched GEMM kernel
```
### Key Classes and Functions
- **DeviceBatchedGemmXdl** (in `device_batched_gemm_xdl.hpp`):
Device API for batched GEMM.
- **gridwise_batched_gemm_xdl** (in `gridwise_batched_gemm_xdl.hpp`):
Implements the tiled/blocking batched GEMM kernel.
This example demonstrates how Composable Kernel supports efficient parallel matrix multiplication for batched and multi-head workloads.