It's hard to see how you could have read the article given your comment. This is certainly not a copy of some original presentation. The article may not be motivated well and certainly can be critiqued on many levels.
But it describes a specific reason why using a high-level language to directly program the GPU can be extremely useful --- you can easily build, test, and iterate on execution order to improve performance. Hardware is changing, and we need better tools to write code for it.
The author uses CUDA Python, but you could do similar things with PyCUDA --- it's the emphasis on the scheduling that is the relevant point.
True. Most people who take the time to write content that they publish on the internet have an agenda.
> this is just marketing.
False. This is an informative and useful summary of a 75-page deeply technical presentation into a few screens of text, and shows actual Python code (and benchmarks) to demonstrate the principles.
> Also, the practical use of this idea is extremely limited.
Care to elaborate? A substantive discussion about the subject of the original post would actually be constructive and add value for the HN community.
I'm sorry, and you are right. What I really meant was that I dislike them not giving enough credit, thus making them look smart with Vasily's knowledge. This kind of marketing feels immoral to me.
>Care to elaborate?
This really isn't the right place for that so I didn't bother. The right place would be a thread/forum talking about the original presentation. Also there wouldn't much to elaborate since my opinion was based on general insight, it is not a provable fact.
Is this a novelty account? How long has news.yc had these? Is there a policy of quickly banning these things? It certainly doesn't help the quality of discourse here.
But it describes a specific reason why using a high-level language to directly program the GPU can be extremely useful --- you can easily build, test, and iterate on execution order to improve performance. Hardware is changing, and we need better tools to write code for it.
The author uses CUDA Python, but you could do similar things with PyCUDA --- it's the emphasis on the scheduling that is the relevant point.