https://news.ycombinator.com/item?id=3004446
The url linked there redirects to the new site, but the old site is still available through the Wayback Machine:
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https://news.ycombinator.com/item?id=3004446
The url linked there redirects to the new site, but the old site is still available through the Wayback Machine:
So how do I use this with the new and modern Radeon HD7990 card? Hmm looks like there is no CUDA library for it... (flagging post for misleading title)
To the best of my knowledge, CUDA is Nvidia only. You would need to look at OpenCL or something similar. I guess the techniques presented in the article could be ported to OpenCL.
So how do I use this with the new and modern Radeon HD7990 card? Hmm looks like there is no CUDA library for it... (flagging post for misleading title)
To the best of my knowledge, CUDA is Nvidia only. You would need to look at OpenCL or something similar. I guess the techniques presented in the article could be ported to OpenCL.
The title here, although it matches that of the linked page, conveys little information to anyone who doesn't already know what it's about. ("Modern GPU is code and commentary intended to promote new and productive ways of thinking about GPU computing. This project is a library, an algorithms book, a tutorial, and a best-practices guide.") Perhaps something like "Modern GPU: NVIDIA's guide to making effective use of…
I can't change the title anymore, hope some moderator will.
I clicked on it being tangentially interested in GPUs and ended up watching all the lectures within the next few days with rapt attention. The topic ended up being far more interesting than I thought and was delivered in a very approachable way.
[1] https://itunes.apple.com/us/itunes-u/graphics-architecture-w...
The title here, although it matches that of the linked page, conveys little information to anyone who doesn't already know what it's about. ("Modern GPU is code and commentary intended to promote new and productive ways of thinking about GPU computing. This project is a library, an algorithms book, a tutorial, and a best-practices guide.") Perhaps something like "Modern GPU: NVIDIA's guide to making effective use of…
Totally agree. However every single time I've tried to editorialize a title like this one to make it better the mods have changed it back to the page's title. I imagine a lot of people have given up on even trying to make informative titles. It's the worst part about this forum in my opinion.
- Information is often missing from the original, as it is here
- The mods are not always so quick to rename, and it's frustrating to see an article that I previously read changed to another title, resulting in confusion when I see it.
Further, The current system actually incentivizes over-editorializing the title to get a post boosted onto the front page, knowing it will be causally re-titled by the mods in due course.
So how do I use this with the new and modern Radeon HD7990 card? Hmm looks like there is no CUDA library for it... (flagging post for misleading title)
Suggest you undo your flag or write a better article with a better title.
So how do I use this with the new and modern Radeon HD7990 card? Hmm looks like there is no CUDA library for it... (flagging post for misleading title)
What do you suggest, he writes a new title it will get flagged because it does not have the original title (or it gets reverted). Suggest you undo your flag or write a better article with a better title.
However, it was flagged originally because it promotes bad way forward for the community who want to learn GPU computing. It is pushes material for one company NVIDIA and its products and SDK, while there is an alternative open standard.
Instead of embracing it they continue splitting the community and do it an deceiving way "Modern GPU"? I gave an example of a modern GPU that this doesn't apply.
> a better article with a better title.
That is a bit dis-ingenious. Every time someone is wrong on the internet I will not go and spend hours re-writing their stuff but better. I thought a vote of flag was supposed to achieve some of that. Yes, it is a lot better to contribute and improve but I pick my battles, and filtering out bad stuff is another way of contributing.
For those interested in articles like these, there's a really great course on iTunes U (and YouTube, among other places) from UC Davis titled "Graphics Architecture", taught by John Owens. [1] I clicked on it being tangentially interested in GPUs and ended up watching all the lectures within the next few days with rapt attention. The topic ended up being far more interesting than I thought and was delivered in a very…
Guide looks very well written, and I'm actually studying parallel programming right now...bookmarked. Side Note: Maybe this is Nvidia's way to promote sales, since AMD cards sold like crazy cause of the mining craze.
The bitcoin community was the only one nimble enough to switch to AMD. For those of us in academia, we'll be paying the piper for the foreseeable future :/