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DiligentEngine - Master repository for Diligent Engine project

  •    C++

Diligent Engine is a lightweight cross-platform abstraction layer between the application and the platform-specific graphics API designed to take advantages of next-generation APIs such as Direct3D12 and Vulkan, while providing support for older platforms via Direct3D11, OpenGL and OpenGLES. Diligent Engine exposes common front-end for all supported platforms and provides interoperability with underlying native API. Shader source code converter allows HLSL shaders to be used on all supported platforms and rendering backends. The engine is intended to be used as a graphics subsystem in a game engine or any other 3D application, and supports integration with Unity. Diligent Engine is distributed under Apache 2.0 license and is free to use. Alternatively, you can get master repository fisrt, and then individually clone all submodules into the engine's root folder.

pumex - Vulkan library oriented on high speed rendering

  •    C++

You can follow library development on Twitter . This paragraph assumes that reader knows Vulkan specification.

pasvulkan - Vulkan header generator, OOP-style API wrapper, framework and prospective Vulkan-based game engine for Object Pascal

  •    Pascal

The Vulkan.pas binding header unit itself (including the vkxml2pas.dpr converter) is and stays also compatible with the old Delphi 7 version, but the PasVulkan.*.pas framework units are no more Delphi 7 compatible, because they are using new Object Pascal syntax features, as such as generics, operator overloading, advanced records and so on, which for these the old Delphi 7 compiler version have no support for. You must first compile the (yet incomplete) PasVulkan project manager using compileprojectmanager (*nix) or compileprojectmanager.bat (Windows) so that you can then use the PasVulkan project manager as a command line tool named projectmanager(.exe) .

vuh - Vulkan compute for people

  •    C++

Vulkan is the most widely supported GPU programming API on modern hardware/OS. It allows to write truly portable and performant GPU accelerated code that would run on iOS, Android, Linux, Windows, macOS... NVidia, AMD, Intel, Adreno, Mali... whatever. At the price of ridiculous amount of boilerplate. Vuh aims to reduce the boilerplate to (a reasonable) minimum in most common GPGPU computing scenarios. The ultimate goal is to beat OpenCL in usability, portability and performance. saxpy implementation using vuh.

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