File size: 2,301 Bytes
c305fa5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | # llama.cpp for IBM zDNN Accelerator
> [!WARNING]
> **Note:** zDNN is **not** the same as ZenDNN.
> - **zDNN** (this page): IBM's Deep Neural Network acceleration library for IBM Z & LinuxONE Mainframes
> - **ZenDNN**: AMD's deep learning library for AMD EPYC CPUs ([see ZenDNN documentation](ZenDNN.md))
## Background
IBM zDNN (Z Deep Neural Network) is a hardware acceleration library designed specifically to leverage the IBM NNPA (Neural Network Processor Assist) accelerator located within IBM Telum I and II processors. It provides significant performance improvements for neural network inference operations.
### Llama.cpp + IBM zDNN
The llama.cpp zDNN backend is designed to enable llama.cpp on IBM z17 and later systems via the IBM zDNN hardware acceleration library.
## Software & Hardware Support
| Hardware Level | Status | Verified |
| -------------------- | ------------- | -------------------------- |
| IBM z17 / LinuxONE 5 | Supported | RHEL 9.6, IBM z17, 40 IFLs |
| IBM z16 / LinuxONE 4 | Not Supported | |
## Data Types Supported
| Data Type | Status |
| --------- | --------- |
| F32 | Supported |
| F16 | Supported |
| BF16 | Supported |
## CMake Options
The IBM zDNN backend has the following CMake options that control the behaviour of the backend.
| CMake Option | Default Value | Description |
| ------------ | ------------- | ----------------------------------- |
| `GGML_ZDNN` | `OFF` | Compile llama.cpp with zDNN support |
| `ZDNN_ROOT` | `""` | Override zDNN library lookup |
## 1. Install zDNN Library
Note: Using the zDNN library provided via `apt` or `yum` may not work correctly as reported in [#15772](https://github.com/ggml-org/llama.cpp/issues/15772). It is preferred that you compile from source.
```sh
git clone --recurse-submodules https://github.com/IBM/zDNN
cd zDNN
autoreconf .
./configure --prefix=/opt/zdnn-libs
make build
sudo make install
```
## 2. Build llama.cpp
```sh
git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
cmake -S . -G Ninja -B build \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_ZDNN=ON \
-DZDNN_ROOT=/opt/zdnn-libs
cmake --build build --config Release -j$(nproc)
```
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