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Message 1990721 - Posted: 19 Apr 2019, 22:12:11 UTC - in response to Message 1990716.  

I just ordered the Noctua fan. I'll steal a jumper off one of my old hard drives.
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Message 1991272 - Posted: 24 Apr 2019, 10:27:28 UTC

Greetings,

This morning, I order 3 Noctua NF-A4x10 5V, Premium Quiet Fans, 3-Pin, 5V Version (40x10mm, Brown) from Amazon. They are scheduled to be here on Tuesday 4/30. I cannot wait to replace those cheap fans and get rid of the noisy one. :)

Have a great day! :)

Siran
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Message 1991333 - Posted: 24 Apr 2019, 22:45:29 UTC
Last modified: 24 Apr 2019, 22:51:43 UTC

Well I fought with it all day yesterday trying to get it running and then trying to get a proper VNC remote screen for it . . . . but I have my new Nvidia Jetson Nano up and running BOINC. The version of the OS is some variant of Ubuntu 18.04.2 LTS [4.9.140-tegra|libc 2.27 (Ubuntu GLIBC 2.27-3ubuntu1)] that is sufficiently different that the normal BOINC from either TBar's BOINC or Locutus of Borg's ppa will not work.

I had to install the BOINC provided by the Tegra repo to get anything running. That was version 7.9.3. When I tried to see what was missing from either TBar BOINC or Locutus of Borg ppa BOINC a ldd only proclaimed that any executable from those packages "wasn't a dynamic executable" Not even a readout saying which dependencies were missing. The files had a proper ELF 64-bit LSB executable, x86-64 definition, they just would not run. Not sure what the problem is. In the end I just resigned to run the repo version which I hate because of the ownership and permissions issues.

Then once I was able to get BOINC installed and download the SETI@home v8 8.02 aarch64-unknown-linux-gnu application and get work, I then could not figure out why I only got a small 320X240 VNC desktop whenever I moved the Nano into the living room when it was displaying a correctly sized VNC desktop when I checked it on the monitor and without any monitor in the daily driver location.

Had me stumped until I thought through each sequence I performed in each location and realized the difference was I booted the Nano with a monitor attached in the daily driver location and that the living room location was always booted without a display attached. Turns out the Nano won't display a normal sized desktop if booted without a display attached. If you boot it with a display attached it will continue to serve a normal VNC window even after unattaching any display. This occurs even with the standard solution of setting nvidia allow empty initial configuration=true in the xorg.conf file.

So as long as the Nano doesn't lose power or reboot I am OK, but that is not an tenable solution as having to drag a HDMI display out to the living room and attach it to the Nano for booting will be a pain. I think I have stumbled on the solution from the crypto mining crews. They use a HDMI emulator https://www.amazon.com/gp/product/B00FLZXGJ6/ref=ppx_yo_dt_b_asin_title_o01_s00?ie=UTF8&psc=1 that should allow the Nano to detect a spoofed display and properly initialize the desktop output size so that it will serve out a correctly sized and usable VNC desktop.

I'll report back if the emulator is a solution. Should have it by tomorrow or Friday. Also goofed, don't know what I was doing, when I ordered a power supply for the Nano. I mistakenly ordered a 12V supply instead of a 5V supply so had to order the correct power supply today. Currently running it off a micro-USB power connection but the Nano apparently has two power modes, the 10W and 20W modes and with only a 2A supply it operates in low power mode with reduced clocks. The Nano appears to be twice as fast as the RPi3+ on the BLC tasks, even at the low power clock. Benefit of either the A57 ARM chip or the application I don't know. So that is the current status of my experiment. I had delusions of running the special app on it but finally realized there is no gpu application unless I compile one myself.
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Message 1991413 - Posted: 25 Apr 2019, 10:28:32 UTC - in response to Message 1991333.  

Hi Keith,

Great to see the progress you made with the new machine. :)

[rant]
On another note: Amazon really knows how to force people to use their Prime crap don't they? I ordered those 3 fans yesterday and PAID for shipping. Their "Free Shipping" would have gotten the fans here tomorrow, Friday. My paid shipping will get the fans here in a freakin' week!!!! Those money grubbers are gonna sit on my order until Monday then ship it out!!! I really do not like Amazon!!! I only buy from them when I cannot get what I need or want from anywhere else. And Prime is just not viable. I do not order from them on a monthly basis.

Newegg has some kind of "Free Shipping" thingy, but I cannot remember what they call it. They don't pull the crap that Amazon does. I pay for shipping and I get the stuff in 3 business days, not a freakin' week like Amazon.
[/rant]

Have a great day! :)

Siran
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Message 1991508 - Posted: 26 Apr 2019, 0:19:31 UTC

I can report that the HDMI emulator works as advertised. Reports itself in the configuration settings as a display which allows you to select the display resolution you want to use. After installing the emulator and rebooting, I could remote in via VNC connection by Remmina and have the desktop the proper size. A cheap and easy solution for headless use of the Nano.

I have been looking around for BOINC projects that can use the Nano with its ARMV8 processor and aarch64-unknown-linux-gnu identification. The 8.02 Seti cpu app here works well and I think I have a lead on two apps at Einstein that should work. The cpu app is one developed by a forum member for his Odroid C2 SBC and another user is apparently running a Tegra farm and has compiled a gpu app for them for the BRP search from the BRP source code. This is one of his tasks.
https://einsteinathome.org/task/836720666 My preference would be to run the gpu app since it more efficiently processes tasks compared to the cpu. I figure if the Tegra embedded gpu in the Nano will work on Einstein source code, then there is hope that I might be able to develop a CUDA application for it here at Seti.
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Message 1991514 - Posted: 26 Apr 2019, 1:33:16 UTC - in response to Message 1991508.  

My four Pis have been running nearly a year on this project, except for power failures - 24/7. I just ordered four replacement fans for the cases since they are starting to make buzzing noises. :-)
I'm putting myself to the fullest possible use, which is all, I think, that any conscious entity can ever hope to do.
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Message 1991538 - Posted: 26 Apr 2019, 5:10:46 UTC - in response to Message 1991508.  

great work Keith, my nano is sitting idle right now, and I am watching for your progress reports .
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Message 1991546 - Posted: 26 Apr 2019, 6:43:34 UTC - in response to Message 1991538.  

I'm waiting for the Einstein Tegra farm user to provide me with his gpu application. I could try the Odroid C2 application but I wanted to give the gpu the first shot and see if it works on the Nano. If I run into roadblocks I will deploy the Odroid app and start crunching on the cpu along with Seti. I am still unsure of what I need for the development platform and am gathering information. I feel pretty comfortable setting up an X86_64 platform for compiling but this new aarch64-unknown-linux-gnu platform is very new and unknown to me. Just learning and I even learned a little bit about cross-compiling which I might try my hand on my normal daily driver since the hardware is so much faster and powerful compared to the ARMV8 processor. It would be a lot easier than trying to compile through the SSH connection. My compiling knowledge amounts to simple things like just running configure and make. Figuring out CXXFLAGS and such is going to be a hard lesson.

Have you accessed your Nano yet remotely? I am seeing a pretty slow VNC connection on the Nano compared to the VNC connection on the RPi3+. I would think that the Nano with its better cpu and memory would make for a faster connection, but I am not seeing that. Might be because the RPi3+ Raspbian OS is more slimmed down and agile compared to the full fledged Ubuntu 18.04.2 OS of the Nano.
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Message 1991550 - Posted: 26 Apr 2019, 10:28:56 UTC
Last modified: 26 Apr 2019, 10:29:26 UTC

Greetings,

Well I'll be a monkey's uncle (now that's an old saying). ;) Amazon must read this form and my rant about them. ;) My fans shipped yesterday and will be here tomorrow. Woohoo! :) I guess my feelings about Amazon may have improved a skosh little bit. :)

@Keith: Keep up the good work my friend. :) Who knows what else we can find to run SETI on. Anybody running a NUC? It's a complete Intel computer about 2/3s the size of a cigar box. No active cooling, but I'm sure some modding can take care of that. :)

Have a great day! :)

Siran
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Message 1991567 - Posted: 26 Apr 2019, 14:13:12 UTC - in response to Message 1991550.  

Anybody running a NUC? It's a complete Intel computer about 2/3s the size of a cigar box. No active cooling, but I'm sure some modding can take care of that. :)

Have a great day! :)

Siran


I think monospice has a NUC. He bought in when I was looking at the latest AMD generation of APU's (2200G/2400G). If I remember right, it has an Intel cpu with a Vega gpu. I am not sure if they were on the same chip or this was a MB gpu. Let me see if I can find it.

I think it is this one: https://setiathome.berkeley.edu/show_host_detail.php?hostid=8637881

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Message 1991575 - Posted: 26 Apr 2019, 15:23:33 UTC - in response to Message 1991567.  

Anybody running a NUC? It's a complete Intel computer about 2/3s the size of a cigar box. No active cooling, but I'm sure some modding can take care of that. :)

Have a great day! :)

Siran


I think monospice has a NUC. He bought in when I was looking at the latest AMD generation of APU's (2200G/2400G). If I remember right, it has an Intel cpu with a Vega gpu. I am not sure if they were on the same chip or this was a MB gpu. Let me see if I can find it.

I think it is this one: https://setiathome.berkeley.edu/show_host_detail.php?hostid=8637881

Tom

Hi Tom,

The NUC comes in variety of flavors. From i7 7th gen to a Celeron. I looked at one and it said it had something called "Intel Iris Plus" graphics. I don't like the prices though. For those prices you can build a decent rig with parts of your own choosing.

Are you sure monospice is using NUC? I don't see how you could add a discrete video card to a NUC.

Have a great day! :)

Siran
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Message 1991579 - Posted: 26 Apr 2019, 15:54:12 UTC - in response to Message 1991550.  
Last modified: 26 Apr 2019, 15:56:18 UTC

I've read the reviews on them. As far as I can tell the only thing it has going for it is the small form factor and exorbitant prices. You can build a more powerful micro-ATX computer in a not much bigger package for a LOT LESS.
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Message 1991581 - Posted: 26 Apr 2019, 16:51:52 UTC - in response to Message 1991579.  

amd ryzen 3 1200x cool master liquid ml120l
b450m gigabyte motherboard
8 gb rgb mem (2x4) 3000
m.2 kingston ssd 240
evga gt 1030
cool masters case
corsairs bronze 450w

total $429

out perform on the top nuc,
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Message 1991604 - Posted: 26 Apr 2019, 22:18:39 UTC - in response to Message 1991581.  

out perform on the top nuc,

Not true- it wouldn't even come close to a upper mid-range NUC.

See the i7 at the bottom of this graph? The Ryzen 3 1200X would be the same distance (or even further) from the bottom, than that bottom i7 is from the top one.
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Message 1991608 - Posted: 26 Apr 2019, 22:27:36 UTC - in response to Message 1991581.  

I did a check on the E@H CUDA gpu BRP app that I have downloaded for the Nano. A check on dependencies show the Nano platform is missing the CUDA math components.
OK, managed to get the file. Looks like I will have to install the CUDA toolkit. No math libraries.

keith@Nano:~/Downloads/dist64$ ldd '/home/keith/Downloads/dist64/einsteinbinary_cuda64'
linux-vdso.so.1 (0x0000007f78f53000)
libgtk3-nocsd.so.0 => /usr/lib/aarch64-linux-gnu/libgtk3-nocsd.so.0 (0x0000007f78eef000)
libcufft.so.8.0 => not found
libcuda.so.1 => /usr/lib/aarch64-linux-gnu/tegra/libcuda.so.1 (0x0000007f77fcb000)
libcudart.so.8.0 => not found
libpthread.so.0 => /lib/aarch64-linux-gnu/libpthread.so.0 (0x0000007f77f9f000)
libc.so.6 => /lib/aarch64-linux-gnu/libc.so.6 (0x0000007f77e46000)
/lib/ld-linux-aarch64.so.1 (0x0000007f78f28000)
libdl.so.2 => /lib/aarch64-linux-gnu/libdl.so.2 (0x0000007f77e31000)
libm.so.6 => /lib/aarch64-linux-gnu/libm.so.6 (0x0000007f77d77000)
librt.so.1 => /lib/aarch64-linux-gnu/librt.so.1 (0x0000007f77d60000)
libnvrm_gpu.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm_gpu.so (0x0000007f77d1d000)
libnvrm.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm.so (0x0000007f77cdb000)
libnvrm_graphics.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm_graphics.so (0x0000007f77cbc000)
libnvidia-fatbinaryloader.so.32.1.0 => /usr/lib/aarch64-linux-gnu/tegra/libnvidia-fatbinaryloader.so.32.1.0 (0x0000007f77c5e000)
libnvos.so => /usr/lib/aarch64-linux-gnu/tegra/libnvos.so (0x0000007f77c40000)
keith@Nano:~/Downloads/dist64$

Found that the only CUDA toolkit available for L4T platform is the old CUDA65. Nothing more recent. The Nano has a partial CUDA installation at /usr/local/cuda/bin

keith@Nano:/usr/local/cuda/bin$ ./nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sun_Sep_30_21:09:22_CDT_2018
Cuda compilation tools, release 10.0, V10.0.166
keith@Nano:/usr/local/cuda/bin$

But doesn't have the libcufft.so or libcudart.so math libraries needed to crunch on the Nano. Not sure how to go about getting them other than to install the full CUDA65 toolkit which may break the existing CUDA10 installation.
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Message 1991612 - Posted: 26 Apr 2019, 22:57:41 UTC - in response to Message 1991604.  

I doubt that, the integrated intel graphics on the NUC suck. That is why a cheaper system with a low end graphics dumps all over the NUC.
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Message 1991615 - Posted: 26 Apr 2019, 23:08:18 UTC - in response to Message 1991608.  

I did a check on the E@H CUDA gpu BRP app that I have downloaded for the Nano. A check on dependencies show the Nano platform is missing the CUDA math components.
OK, managed to get the file. Looks like I will have to install the CUDA toolkit. No math libraries.

keith@Nano:~/Downloads/dist64$ ldd '/home/keith/Downloads/dist64/einsteinbinary_cuda64'
linux-vdso.so.1 (0x0000007f78f53000)
libgtk3-nocsd.so.0 => /usr/lib/aarch64-linux-gnu/libgtk3-nocsd.so.0 (0x0000007f78eef000)
libcufft.so.8.0 => not found
libcuda.so.1 => /usr/lib/aarch64-linux-gnu/tegra/libcuda.so.1 (0x0000007f77fcb000)
libcudart.so.8.0 => not found
libpthread.so.0 => /lib/aarch64-linux-gnu/libpthread.so.0 (0x0000007f77f9f000)
libc.so.6 => /lib/aarch64-linux-gnu/libc.so.6 (0x0000007f77e46000)
/lib/ld-linux-aarch64.so.1 (0x0000007f78f28000)
libdl.so.2 => /lib/aarch64-linux-gnu/libdl.so.2 (0x0000007f77e31000)
libm.so.6 => /lib/aarch64-linux-gnu/libm.so.6 (0x0000007f77d77000)
librt.so.1 => /lib/aarch64-linux-gnu/librt.so.1 (0x0000007f77d60000)
libnvrm_gpu.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm_gpu.so (0x0000007f77d1d000)
libnvrm.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm.so (0x0000007f77cdb000)
libnvrm_graphics.so => /usr/lib/aarch64-linux-gnu/tegra/libnvrm_graphics.so (0x0000007f77cbc000)
libnvidia-fatbinaryloader.so.32.1.0 => /usr/lib/aarch64-linux-gnu/tegra/libnvidia-fatbinaryloader.so.32.1.0 (0x0000007f77c5e000)
libnvos.so => /usr/lib/aarch64-linux-gnu/tegra/libnvos.so (0x0000007f77c40000)
keith@Nano:~/Downloads/dist64$

Found that the only CUDA toolkit available for L4T platform is the old CUDA65. Nothing more recent. The Nano has a partial CUDA installation at /usr/local/cuda/bin

keith@Nano:/usr/local/cuda/bin$ ./nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2018 NVIDIA Corporation
Built on Sun_Sep_30_21:09:22_CDT_2018
Cuda compilation tools, release 10.0, V10.0.166
keith@Nano:/usr/local/cuda/bin$

But doesn't have the libcufft.so or libcudart.so math libraries needed to crunch on the Nano. Not sure how to go about getting them other than to install the full CUDA65 toolkit which may break the existing CUDA10 installation.



did you look here /usr/local/cuda/targets/aarch64-linux/lib
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Message 1991621 - Posted: 26 Apr 2019, 23:49:59 UTC - in response to Message 1991612.  

I doubt that, the integrated intel graphics on the NUC suck. That is why a cheaper system with a low end graphics dumps all over the NUC.

And like any system, there are many different levels of integrated graphics, and not all NUCs rely on integrated graphics. You could always look at the many reviews & see what the reality actually is.
The simple fact is, the system you quoted doesn't even make it to the middle of the range NUC systems, let alone outperform the top NUC as you incorrectly claimed.
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Message 1991624 - Posted: 27 Apr 2019, 0:13:28 UTC - in response to Message 1991575.  

Anybody ruhttps://setiathome.berkeley.edu/forum_thread.php?id=83390&postid=1958418#1958418nning a NUC? It's a complete Intel computer about 2/3s the size of a cigar box. No active cooling, but I'm sure some modding can take care of that. :)

Have a great day! :)

Siran


I think monospice has a NUC. He bought in when I was looking at the latest AMD generation of APU's (2200G/2400G). If I remember right, it has an Intel cpu with a Vega gpu. I am not sure if they were on the same chip or this was a MB gpu. Let me see if I can find it.

I think it is this one: https://setiathome.berkeley.edu/show_host_detail.php?hostid=8637881

Tom

Hi Tom,

The NUC comes in variety of flavors. From i7 7th gen to a Celeron. I looked at one and it said it had something called "Intel Iris Plus" graphics. I don't like the prices though. For those prices you can build a decent rig with parts of your own choosing.

Are you sure monospice is using NUC? I don't see how you could add a discrete video card to a NUC.

Have a great day! :)https://setiathome.berkeley.edu/forum_thread.php?id=83390&postid=1958418#1958418

Siran


Its not a discrete "video card" but it comes with a Vega gpu as part of the product.

Here is where the NUC discussion starts on an APU type thread:
https://setiathome.berkeley.edu/forum_thread.php?id=83390&postid=1958418#1958418

Tom
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Message 1991633 - Posted: 27 Apr 2019, 0:44:53 UTC - in response to Message 1991615.  



did you look here /usr/local/cuda/targets/aarch64-linux/lib64

Yes, the E@H developer pointed out that I do in fact have the libraries at this location. But his app needs

libcufft.so.8.0
libcudart.so.8.0

while I have

libcufft.so.10.0
libcudart.so.10.0

So I may have to get his source code and compile the app with my CUDA10 library.
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