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From https://news.ycombinator.com/item?id=18197988 https://news.ycombinator.com/item?id=18197988: > MIOpen[1] is a step in this direction but still causes the
by twtw 8y ago
From https://news.ycombinator.com/item?id=18197988 https://news.ycombinator.com/item?id=18197988:
> MIOpen[1] is a step in this direction but still causes the VEGA 64 + MIOpen to be 60% of the performance of a 1080 Ti + CuDNN based on benchmarks we've conducted internally at Lambda. Let that soak in for a second: the VEGA 64 (15TFLOPS theoretical peak) is 0.6x of a 1080 Ti (11.3TFLOPS theoretical peak). MIOpen is very far behind CuDNN.
That performance penalty is a bit too steep for me. Vega64 should be 1.3x perf compared to 1080ti, but instead it is 0.6x. 50% lower performance is quite a sacrifice.
- antoineMoPa 8y agoBut did you ever care about openness, vendor lock-in and portability? Most people in the world can't afford 600$ Nvidia GPUs.
- twtw 8y ago> Most people in the world can't afford 600$ Nvidia GPUs. Ok? I'm not what your point is here - most people can't afford a $600 amd gpu either. If you can't get a $600 gpu, buy a cheaper gpu - gtx 1060 is $250 or gtx 960 is $50. Performance costs a premium, and that is just how is is. It would be great if we lived in a world where you could buy a Titan v for $1, but in the real world valuable things cost more money, and that unfortunately means not everyone can buy them.
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- nl 8y agoI care about openness a lot. I also care about performance. It's too bad AMD doesn't put in the effort NVidia does to make sure computation on their GPUs is as easy to do as it is on NVidias.