CUDA 10 available back

(L) [2018/09/20] [ost by jbikker] [CUDA 10 available] Wayback!

[LINK https://developer.nvidia.com/announcing-cuda-toolkit-10]

Still looking for information on ray tracing in the documentation...

(L) [2018/09/20] [ost by shocker_0x15] [CUDA 10 available] Wayback!

We can already find a description about new features in the next OptiX from Google search (e.g. GeometryTriangles).
According to that, the next version of OptiX becomes 5.2 [SMILEY :)]

(L) [2018/09/20] [ost by friedlinguini] [CUDA 10 available] Wayback!

I don't think CUDA itself has been advertised with ray-tracing goodness; it's all delegated to OptiX, DirectX, and Vulkan.

(L) [2018/09/24] [ost by cignox1] [CUDA 10 available] Wayback!

Honestly, I was expecting more discussion here related to the new RTX tech: game development aside, is there some interest among the offline rendering community? I suppose that even while the first iteration might not offer much in this regard (perhaps still too dependent upon rasterization?)  the future plans should provide a lot of interesting features for a whole class of applications. Am I wrong?

(L) [2018/09/24] [ost by stefan] [CUDA 10 available] Wayback!

I would think the RTX cores are exposed the same way as the rasterisation hardware - through graphics APIs, but not general compute APIs. Note how there's no access to ROPs from CUDA or OpenCL, I guess the same goes for RT.

(L) [2018/09/25] [ost by jbikker] [CUDA 10 available] Wayback!

It looks like we'll only be able to access the ray tracing hardware via OptiX / Vulcan  / DX12. No CUDA. If your renderer is implemented in CUDA, you can call OptiX from CUDA, but you don't get to use the hardware directly. Add to that that this is a feature promised for Optix 5.2, which is not available yet... It's "not easy" (as in: impossible) at this time to experiment with the shiny new hardware, sadly.

(L) [2018/09/27] [ost by szellmann] [CUDA 10 available] Wayback!

>> stefan wrote:Note how there's no access to ROPs from CUDA or OpenCL, I guess the same goes for RT.
In CUDA 10 there are special warp matrix operations that leverage the tensor cores on compute capability 7 GPUs ([LINK https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#wmma]), so in general NV seem open to expose fixed-function HW through CUDA (before CUDA 10 tensor cores could however only be used via cuBlas).