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?
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.
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
Looks like they're about to be bought by Intel? http://www.electronicsweekly.com/news/business/altera-import...
Does this mean FPGA co-processors in the future from Intel?