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Even less if you use AMD GPU's -https://www.reddit.com/r/linux/comments/2zgpj8/15000_nvidia_developer_system/cpjjff5 https://www.reddit.com/r/linux/comments/2zg

by dharma1 11y ago

Even less if you use AMD GPU's -https://www.reddit.com/r/linux/comments/2zgpj8/15000_nvidia_developer_system/cpjjff5 https://www.reddit.com/r/linux/comments/2zgpj8/15000_nvidia_... I wonder why the popular deep learning frameworks are using mainly CUDA instead of OpenCL. Is because of better Linux GPU drivers? Wondering why AMD isn't jumping on deep learning The Altera FP capable FPGA's sound real interesting too. 10 TFLOPS, OpenCL support? http://www.slideshare.net/embeddedvision/a04-altera-singh http://www.slideshare.net/embeddedvision/a04-altera-singh Looks like they're about to be bought by Intel? http://www.electronicsweekly.com/news/business/altera-important-intel-2015-06/ http://www.electronicsweekly.com/news/business/altera-import... Does this mean FPGA co-processors in the future from Intel?

varelse 11y ago
I would love to see AMD jump in the ring, and there's even an OpenCL port of Caffe in progress: https://github.com/BVLC/caffe/pull/2610 https://github.com/BVLC/caffe/pull/2610 But its performance is less than half that of a GTX 980 running CUDA. Still, AMD is silly not to try and improve on this IMO.
- dharma1 11y ago
  Wonder what's causing the perf drop. Would make sense to Intel to push openCL for deep learning too
  - varelse 11y ago
    Bad compilers would be my guess. And not only would it make sense for Intel to push OpenCL for Deep Learning, but it would make sense (IMO of course) for them to push OpenCL as a much better abstraction for accessing the vector units in all their CPUs in a multicore fashion across the board.