SmartestUnknown
Joined 8 years ago
Joined 8 years ago
Can they/someone else give more details as to what workloads pytorch is more than 2x slower than the hardware provides? Most of the papers use standard components and I assume pytorch is already pretty performant at implementing them at 50+% of extractable performance from typical GPUs.
If they mean more esoteric stuff that requires writing custom kernels to get good performance out of the chips, then that's a different issue.
(Disclaimer: I work at Google but no connection to YouTube)
If they are able to get even 2 million telugu households over to subscribe the next few years, that would be a revenue of about $150 million which I think is probably much less than the amount of money they spend on telugu content.
The posted algorithm and the one mentioned in my paper are very similar. It is just that the cumulative sum computation is parallelized in the posted website.
(Disclaimer: I am an author on the linked paper)
I would be more impressed when some mathematician finds a more severe error in their proofs with the help of theorem provers (meaning a mistake in their own intuition).
People who take the course by the author at CMU say very good things about the class and the professor.