What I was getting more at was: I want to know the relative performance compared to another 8 Tesla box. I know comparing apples isn't good marketing, but c'mon.
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What I was getting more at was: I want to know the relative performance compared to another 8 Tesla box. I know comparing apples isn't good marketing, but c'mon.
though I'm most curious about what motherboard is in there to support NVLink and NVHS.
Good overview of Pascal here: https://devblogs.nvidia.com/parallelforall/inside-pascal/
1 question: will we see NVLink become an open standard for use in/with other coprocessors?
1 gripe: they give relative performance data as compared to a CPU -- of course its faster than a CPU
Link to the PDF of the associated paper http://www.cs.umd.edu/class/fall2014/cmsc631/papers/vanhorn-...
The general idea of "importing" types is a good one and I think this is what F# achieves with type providers. I've seen this applied to database schemas and filesystems, but never OpenGL.
Two possible directions I see away from macros which would play nicely with source code transformations are un-macros and layers of languages.
Un-macros would take source and display it in the condensed form only for human reading -- this takes away from human writing power of course, which may have to get pushed into the editor. This could also allow for automated pattern discovery.
Layers of languages would look similar to Racket's #lang concept and current macro systems, but without the ability to escape back into the parent language. This creates a new language on top of -- not mixed into -- the parent language.
One thing I think is often overlooked in comparing brains with computers is that while they may be ahead on efficiency and density, computers win on many other metrics eg. They are easy to reprogram, they don't need sleep, etc.
And I'm curious how exactly brains are measured for operations per unit <blank>
Can someone clarify if "single machines" means the Apache license only applies to single machines and not distributed systems?
Sidenote: I wish every open source project had a release video.
Makes me think there's a lot more improvements to be had with the much larger and specialized instruction sets we're seeing nowadays.
That's what they all say.
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