OpenCL is a standards compliant compute API that is supported by Nvidia, AMD, In...

qb45 · on April 23, 2013

> Nvidia is in the slow process of eventually discontinuing further CUDA support, and it is recommended to write new code in OpenCL only.

[Citation needed]

Their OpenCL support is still limited to v1.1 (released in 2010), while just few months ago they've released a new major version of CUDA with tons of features nowhere to be seen in (any vendor's) OpenCL.

smosher · on April 23, 2013

Yeah, you're going to have to back that up. CUDA is meant to be supported on all future nVidia cards.

pjmlp · on April 24, 2013

How come, given that only CUDA has direct support for C++ and FORTRAN compilers that target the GPU?

m_mueller · on April 24, 2013

Furthermore Python[1], Matlab[2], F#[3]. Furthermore parallel device debuggers (TotalView, Allinea), profilers (NVIDIA). There's a long way for OpenCL to catch up, if ever (because there might be a better standard coming further down the line).

[1] http://www.techpowerup.com/181585/NVIDIA-CUDA-Gets-Python-Su...

[2] http://www.mathworks.com/discovery/matlab-gpu.html

[3] https://www.quantalea.net/media/pdf/2012-11-29_Zurich_FSharp...