Kompute Array Multiplication Example

This folder contains an end to end Kompute Example that implements logistic regression.

This example is structured such that you will be able to extend it for your project.

It contains a cmake build configuration that can be used in your production applications.

Building the example

You will notice that it's a standalone project, so you can re-use it for your application.

This project has the option to either import the Kompute dependency relative to the project or use your existing installation of Kompute.

To build you just need to run the cmake command in this folder as follows:

cmake \
    -Bbuild

You can pass the following optional parameters based on your desired configuration:

If you wish to install with spdlog support you just have to pass -DKOMPUTE_OPT_ENABLE_SPDLOG=1.
If you are using a package manager such as vcpkg make sure you pass the -DCMAKE_TOOLCHAIN_FILE= parameter
If you wish to load shader from raw glsl string instead of spirv bytes you can use -DKOMPUTE_ANDROID_SHADER_FROM_STRING

Pre-requisites

In order to run this example, you will need the following dependencies:

REQUIRED
- The Vulkan SDK must be installed
OPTIONAL
- Vulkan Kompute library must be accessible (by default it uses the source directory)
- SPDLOG - for logging
- FMT - for text formatting

We will cover how you can install Vulkan Kompute in the next section.

For the Vulkan SDK, the simplest way to install it is through their website. You just have to follow the instructions for the relevant platform.

For the other libraries, because they are optional you can just make sure you build and install Kompute with these disabled (this will be covered in more detail below).

Alternatively you can use package managers such as vcpkg to help you install them, although to simplify things you can start without the dependencies first.