I dabbled a bit with it in college for a course
replacing it ain't gonna be easy (or even a desired thing for some)
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I dabbled a bit with it in college for a course
replacing it ain't gonna be easy (or even a desired thing for some)
Sure, provide a 100% CUDA-compatible chip, then do the microsoft-style EEE.
If they create a better tool chain, ecosystem, and programming experience than CUDA and compatible with all computational platforms at their peak performance - awesome! Everyone wins! Until then, it's a bit funny claim, especially considering what a failure OpenCL was (programmer's experience and fading support). Or trying to do GPGPU with compute shaders in DX/GL/Vulkan. Are they really "motivated"? Because they had…
What's wrong with compute shaders ?
Sure, provide a 100% CUDA-compatible chip, then do the microsoft-style EEE.
Fun fact: More than half of all engineers at NVIDIA are software engineers. Jensen has deliberately and strategically built a powerful software stack on top of his GPUs, and he's spent decades doing it. Until Intel finds a CEO who is as technical and strategic, as opposed to the bean-counters, I doubt that they will manage to organize a successful counterattack on CUDA.
If they create a better tool chain, ecosystem, and programming experience than CUDA and compatible with all computational platforms at their peak performance - awesome! Everyone wins! Until then, it's a bit funny claim, especially considering what a failure OpenCL was (programmer's experience and fading support). Or trying to do GPGPU with compute shaders in DX/GL/Vulkan. Are they really "motivated"? Because they had…
What's wrong with compute shaders ?
Intel and AMD have had years to provide similar capabilities on top of OpenCL. Maybe they should look into their own failures first.
SYCL is a better analog to Cuda than OpenCL, and Intel have their own implementation of that. Don't really see anyone writing anything in SYCL though, and when I looked into trying it out it was a bit of a mess with different implementations, each supporting their own subset of OSs and hardware. https://www.intel.com/content/www/us/en/developer/tools/onea...
Yet another example on how Intel and AMD failed to take up on CUDA.
If they create a better tool chain, ecosystem, and programming experience than CUDA and compatible with all computational platforms at their peak performance - awesome! Everyone wins! Until then, it's a bit funny claim, especially considering what a failure OpenCL was (programmer's experience and fading support). Or trying to do GPGPU with compute shaders in DX/GL/Vulkan. Are they really "motivated"? Because they had…
What's wrong with compute shaders ?