81–90 of 97 posts
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Well right, but compared to the number of units bought by IT departments, the "enthusiast" market is nothing but decimal dust.
Probably, but remember that if you're maximizing profit then one $100 margin customer is as important as 1000 $0.10 margin customers.
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Well right, but compared to the number of units bought by IT departments, the "enthusiast" market is nothing but decimal dust.
Probably, but remember that if you're maximizing profit then one $100 margin customer is as important as 1000 $0.10 margin customers.
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Yes.. with the current deep dreaming fad, this could attract quite a few hobbyists eager to get near-real time video processing through large nn.
The current deep dreaming fad is going to last about one more week before everyone gets sick of looking at those stupid pictures. They really serve no purpose other than "look how crazy this stuff is" - deep learning is cray-cray.
Also I think there's a bit more than just ZOMGtrippy. The whole project points out that "if you're looking for it, you'll find it." The system amplifies noise until it sees something familiar. Understanding that humans do this too (to a point), is a critical point in comprehension and discussion of the world, opinions and people. But yeah, it will seem rather "iconic" and dated 10 years from now.
"The 17 Billion transistors on the Pascal GPU are twice the transistors found on the GM200 Maxwell and the Fiji XT GPU core which is literally insane. " https://xkcd.com/725/
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GTX 580: 585M transistors GTX 680: 3.5B transistors GTX Titan: 7.1B transistors GTX 980: 5.2B transistors GTX Titan X: 8B transistors Core i7-5930k: 2.6B transistors What the data above suggests to me is that relying solely on Moore's Law to predict performance is a fool's errand. Going forward, process transitions are obviously slowing down and IMO victory will go to those who make the best use of the available tran…
Just to nitpick, backwards compatibility isn't really a huge issue for Intel. Most of the really old stuff that's a pain to maintain can be shoved in microcode; compilers won't emit those instructions. There are obvious downsides to the architecture, but the need to be backwards compatibility shouldn't hurt it too much. GPU workloads are very different in that generally you don't have to look particularly hard to fin…
A paper (http://www.ic.unicamp.br/~ra045840/cardoso2013wivosca.pdf) states that a mostly-microcode solution would still require 20% of the die area to be dedicated solely to microcode ROM.
I can't remember where I read it but something like 30+% of an Intel CPU die area/power consumption is due to the x86 ISA. Apparently the original Pentium CPU was 40% instruction decoding by die area. And the ISA has grown enormously since then.
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This also seems to be the motivation behind the already available Titan X with its 12GB of RAM. Some of the gaming hardware reviewers are scratching their heads as to why anyone would need 12GB attached to one die. I chuckled when I saw those reviews that were totally oblivious to the deep learning applications.
The community as a whole is completely oblivious. It's pretty funny to see the youtube reviewers get all worked up over how nvidia and amd are going at it again and such. As if gaming is what's driving this battle. Anyone working in computer science knows the battle is over machine learning, not first person shooters. Soon headless, socketed solutions will be the preferred form factor for HPC. I image the desktop and…
For reference: Titan Z DP FP: 2707 GFLOPS ATI 5870 (released sept 2009): 544 GFLOPS Titan X (current generation - NVidia recognized that gamers don't value DP performance): 192 GFLOPS
I sometimes wonder how it came to be that the Titan Z preceded the Titan X...
E: to clarify, review sites are aware that STEM people need double precision and 6/12GiB GPU memory for something
AMD get it together, pretty please. Nobody wants to live in a world where only NVidia produces discrete GPUs! That 32GB seems too high for cost constrained consumer market though - may be they will have a leaner variant for desktops/gaming.
This article you just read is typical Nvidia "we are the best .. in 2 years, you just wait!!1". They produced same charts, slides and test results before releasing Tegra, Tegra2 and Tegra3. Every time it was supposed to revolutionize industry and beat competition, every time it released late and benched slower than products on the market.
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Not sure about their graphics division, but AMD has stopped innovating in the CPU department...
They are working on Zen - which is a ground up rearchitecture. They have limited resources so the existing designs (Opterons and APUS) are only receiving minor incremental updates until Zen lands. Zen is expected in 2016, AMD's continued existence as a serious CPU maker depends on it.
Zen definitely looks interesting, let's see if it's as big as a success as the K7 architecture
> AMD's continued existence as a serious CPU maker depends on it
I agree
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Is this a joke? AMD are currently pioneering the biggest shake up in CPU architectures in decades through the Heterogenous System Architecture.
Interesting. Is it different from integrated GPU solutions from Intel?