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| 04:37 | Bertl_oO | off to bed now ... have a good one everyone!
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| 11:17 | Bertl | morning folks!
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| 11:18 | se6ast1an | good day!
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| 13:55 | anuejn | se6ast1an: everything clear now?
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| 14:42 | se6ast1an | mostly, so many more questions and ideas already :)
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| 14:43 | se6ast1an | for example the mentioned jetson hardware from nvidia
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| 14:43 | se6ast1an | I would like to learn more how its used and what it can do
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| 14:43 | se6ast1an | its basically a platform for mobile GPU processing I assume?
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| 14:43 | se6ast1an | shaders, etc.
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| 14:44 | se6ast1an | if yes how does it compare performance wise to dedicated GPUs in PCs
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| 14:53 | BAndiT1983 | https://medium.com/@aallan/benchmarking-edge-computing-ce3f13942245
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| 14:54 | BAndiT1983 | don't know if you can compare it to a normal GPU, as V-RAM is one of the biggest factors in calculations
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| 14:55 | BAndiT1983 | although the specs look impressive
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| 15:06 | se6ast1an | do they?
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| 15:06 | se6ast1an | "we’ll also run the same models on my Apple MacBook Pro (2016), which has a quad-core 2.9 GHz Intel Core i7"
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| 15:06 | se6ast1an | so no GPU acceleration on an old mac book
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| 15:07 | se6ast1an | shows better or similar processing sped compared to the embedded solutions
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| 15:07 | se6ast1an | *speed
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| 15:07 | se6ast1an | speed vs power consumption would have been interesting there
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| 15:11 | BAndiT1983 | i have the same macbook from the company and it has a GPU, some radeon, don't remember the model
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| 15:23 | BAndiT1983 | but besides the CPU/GPU debate, there is still proper software development and optimization involved, as intel also has quite many possibilities to let specific software run faster on their CPUs, e.g. embree for rendering
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| 15:24 | BAndiT1983 | just comparing raw power, won't tell the real state of things
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| 16:24 | vup | shared memory can be a big advantage aswell, if you need to share a lot of data between the cpu and gpu, upload and download stuff to the gpu can usually be one of the main bottlenecks, especially when not doing a lot of work on the gpu per byte
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| 16:36 | BAndiT1983 | true
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| 18:28 | se6ast1an | but do I understand correctly that jetson is great because it offers GPU processing for mobile applications for more performance per watt but the same is basically possible in laptops and of course desktop GPUs?
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| 18:29 | se6ast1an | the above article talks about AI mainly, but what about "normal" GPU processing?
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| 18:43 | Bertl | off for now ... bbl
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| 18:47 | BAndiT1983 | se6ast1an: what is normal gpu processing?
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| 18:47 | BAndiT1983 | such stuff? -> https://www.fastcompression.com/blog/jetson-image-processing.htm
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| 18:47 | se6ast1an | shaders, cuda, etc.
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| 18:48 | BAndiT1983 | see the article, it's also there
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| 18:49 | BAndiT1983 | https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%20Linux%20Driver%20Package%20Development%20Guide/graphics_comp_shader.html
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| 18:49 | se6ast1an | right, I see jetson already provides some of the usual suspects for cameras out of the box
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| 18:49 | se6ast1an | debayering, etc.
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| 18:49 | BAndiT1983 | yep, it looks like it was developed with cameras in mind, probably for automation or so, as it supports multiple cameras at once
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| 18:50 | se6ast1an | I see
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