Originally posted by milkylainen
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The NVIDIA Jetson TX2 Performance Has Evolved Nicely Since Launch
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Originally posted by coder View PostAt a sufficiently high level, you can obviously emulate anything with anything else. However, to be efficient, the backend hardware should be designed for the ISA it's going to be executing. You want to hold the entire architectural state on-chip, so you don't have to spill things to memory. And you want to have the behavior of your hardware implementation match the key details of the ISA, so you don't have to waste extra instructions emulating it.
Either way. This way of doing things has been experimented with earlier and it did not add up to expectations.
But maybe if they sell enough of them this time, it will stick as a solution that gets funding and development.
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Originally posted by milkylainen View PostThis way of doing things has been experimented with earlier and it did not add up to expectations.
But maybe if they sell enough of them this time, it will stick as a solution that gets funding and development.
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Funny thing is: they just launched the development kit for Xavier. I was expecting to see Phoronix featuring a news article on it, in fact. However, the current specs manage to sidestep the question of exactly what they used for CPU cores.
https://developer.nvidia.com/embedde...-xavier-devkit
According to Wikipedia, it again uses a custom core, this time called Carmel.
And anyone regarding the TX2 as expensive will find Xavier's price particularly eye-watering:
Members of the NVIDIA Developer Program are eligible to purchase their first NVIDIA® Jetson Xavier™ Developer Kit at a special price of $1,299 (USD), discounted from the MSRP of $2,499 (USD).Last edited by coder; 31 August 2018, 12:38 AM.
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Originally posted by coder View PostSince this uses their second generation Denver core, their first must've worked well enough to convince them to make another.
The little seen Efficeon (TM8600). Also in two incarnations.
Still not efficient enough.
Either way. This time the team is backed by a silicon powerhouse with $$ to spare.
It's very much a different situation than last time.
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Originally posted by coder View PostTrue, but that deals with the original Denver, from 2014. This has Denver 2, described here (note that Parker is the code name for TX2):
https://www.anandtech.com/show/10596...parker-details
Anyway, your link didn't work for me. Try this:
https://www.anandtech.com/show/8701/...xus-9-review/2
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Originally posted by coder View Post
Will it use CUDA, automatically? I thought you had to explicitly use stuff in the cuda namespace.
https://docs.opencv.org/3.4.0/d1/d1a...v_1_1cuda.html
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Originally posted by milkylainen View PostAs did Transmeta.
The little seen Efficeon (TM8600). Also in two incarnations.
Still not efficient enough.
The difference is that Nvidia's main value-add is their GPUs. If their CPU cores weren't competitive, they could just dump them and go with a standard ARM core, as they had done in various Tegra SoCs.
For Transmeta, CPUs was their entire business. They pretty much had to keep at it, as long as they had any hope of surviving.Last edited by coder; 01 September 2018, 12:05 AM.
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