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• oddity1234 - Tuesday, March 3, 2015 - link

  "NVIDIA has yet to even implement OpenCL 2.0 support"
  
  NVidia has yet to even implement OpenCL 1.2 support, actually.

• xdrol - Tuesday, March 3, 2015 - link

  They do have an OpenCL 1.2 implementation for Tegra TK1. (Available on vendor request..)

• ddriver - Tuesday, March 3, 2015 - link

  Hurray, it is available on a power limited platform if the vendor has explicitly requested it. That's what I call "availability".

• Deanjo - Saturday, April 4, 2015 - link

  It actually has been available in OS X for quite a while on nvidia cards.

• lkuhlmann - Tuesday, April 14, 2015 - link

  Can you provide a useful email address for this request?

• Jaybus - Tuesday, March 3, 2015 - link

  Well, they'd better get with it, because with equal (more or less) usability, the cross-platform library is more appealing for new projects. It allows developers to target a broader range of hardware. There just isn't enough difference in the GPU hardware to justify a proprietary Cuda.

• deviceprogrammer - Monday, March 9, 2015 - link

  Well, competition for NVIDIA is growing and it will be hard to be a la Microsoft of the 1990s. NVIDIA must convert their GPU into some different kind of animal if they want to dominate with CUDA. Things like virtual memory, preemptive multitasking and so on.

• sorten - Tuesday, March 3, 2015 - link

  "C++ featured removed ..."
  Wow, they didn't even edit their slide deck?

• maximumGPU - Tuesday, March 3, 2015 - link

  would be interesting to see who has the more complete C++ features for compute, OpenCL or C++AMP.

• patrickjp93 - Wednesday, March 4, 2015 - link

  Don't leave out OpenMP. People forget you can use it to offload natively written C++ code to an iGPU or to a Xeon Phi.