>
> One of the more exciting use cases of Vulkan is running Julia kernels over 
> GPU-Arrays and then seamlessly visualizing the results.
> Enabling this will be a lot of work. 
>

It looks like using Vulkan, when ready, it will take less work to get work 
done.

On Saturday, April 9, 2016 at 1:32:53 PM UTC-4, Simon Danisch wrote:
>
> Valentin <https://github.com/vchuravy> and I are proud to announce a 
> Julia wrapper for the Vulkan API <https://www.khronos.org/vulkan/>:
> VulkanCore.jl <https://github.com/JuliaGPU/VulkanCore.jl>
>
> Vulkan can be called the successor of OpenGL, but it's a lot closer to the 
> hardware, which is why it's not a direct replacement of OpenGL.
>
> In short, the main differences to OpenGL are:
>
>    - lower driver overhead
>    - better utilization of multi-core setups
>    - shader/kernel are consumed in form of a new intermediate format, 
>    SPIR-V <https://www.khronos.org/registry/spir-v/specs/1.0/SPIRV.pdf>, 
>    which can be targeted by any language (yes, especially Julia+LLVM)
>    - better low-level abstraction for GPU-CPU/GPU-GPU synchronization and 
>    memory management
>    - GPGPU becomes more of a first class citizen
>    - supports a large variety of hardware and platforms (NVIDIA, AMD, 
>    Intel, ARM, Android, Linux, Windows 
>    <https://en.wikipedia.org/wiki/Vulkan_(API)>...)
>
> One of the more exciting use cases of Vulkan is running Julia kernels over 
> GPU-Arrays and then seamlessly visualizing the results.
> Enabling this will be a lot of work. Please stay tuned for further posts 
> and watch the progress at Vulkan.jl 
> <https://github.com/JuliaGPU/Vulkan.jl>, the (not yet finished) higher 
> level abstraction over VulkanCore.jl.
>
> You can find some more information in a blog post 
> <http://randomfantasies.com/2016/02/why-im-betting-on-vulkan-and-julia/> 
> I recently wrote.
>
> Best,
> Simon
>

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