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> Moore's law is dead. GTX 1080 - 11b transistors (2016) RTX 3080 - 45b transistors (2020) From Wikipedia "Moore's law is the observation that the number of
by stagger87 6y ago
> Moore's law is dead.
GTX 1080 - 11b transistors (2016)
RTX 3080 - 45b transistors (2020)
From Wikipedia
"Moore's law is the observation that the number of transistors in a dense integrated circuit doubles about every two years."
- deleted 6y ago[deleted]
- AnimalMuppet 6y ago> RTX 3080 - 45b transistors (2020) That's just... insane. That's five transistors for every person on the planet. In 700 mm2.
- iso8859-1 6y agoWhy does it make sense to compare it with the world population?
- AnimalMuppet 6y agoIt doesn't, of course, except in the sense of "that's something that we know is a Really Big Number". [Edit: And a number that people have some intuition of how big it is.]
- WizardAustralis 6y agoTrue but the die size has also grown. So it not a 1:1 comparison. An impressive feat for sure but it is just using brute force to increase performance nowadays.
- sbierwagen 6y agoDoing the math: GTX 1080: 42.81 mm^2 per billion transistors. 41.53 mm^2 per TFLOP. 0.97 billion transistors per TFLOP. RTX 3080: 15.55 mm^2 per billion transistors. 33.17 mm^2 per TFLOP. 2.13 billion transistors per TFLOP. They scale well for transistors against die size, and TFLOP against die size, but terribly in transistors per TFLOP? That can't be right. Checking https://www.techpowerup.com/gpu-specs/geforce-rtx-3080-ti.c3581 https://www.techpowerup.com/gpu-specs/geforce-rtx-3080-ti.c3... I now see it says "Based on speculation / placeholder", which makes me think it's all just totally made up, and not reliable evidence to declare the death of Moore just yet.
- atq2119 6y agoKeep in mind that with the 2080, they added raytracing acceleration and tensor cores. Both add area and improve performance of specific user cases, but my guess is that they don't show up in that TFlops number.
- mapleshamrock 6y agoThis is it - you can't just compare FP32 TFLOPS. The newer cards have a ton of extra precisions, custom cores for certain workloads, and on chip memory, all of which use silicon area and transistors, but none of which boost the FP32 TFLOPS metric. I could design you a chip that is nothing but FP32 multipliers and adders that has, theoretically, a ridiculous TFLOPS per mm^2, but it would be next to useless in any real workload.
- nickik 6y agoI think in Moore's paper it was actually about economics of transistor production. But I think this definition is the more commonly cited.