Installing Ubuntu on Windows
https://docs.microsoft.com/en-us/windows/wsl/install-win10
Install Python: sudo apt-get install python3.6
Installing FFmpeg
https://linuxize.com/post/how-to-install-ffmpeg-on-ubuntu-18-04/
MAGIC:
find . -type f -iname “*.MTS” -exec ./movie_sirius.sh {} 500 6 6 \;
I loved the TwoClock since the first time i saw it. But the prices were insain. And I thought, how difficult could it be to make it myself?
I had a couple of 8×8 RGB matrices laying around, and with help of the great Adafruit tuturials (https://learn.adafruit.com/adafruit-neopixel-uberguide/neomatrix-library) figured out how to address the RGB pixels.
Started the deveoping of code with the Arduion Mega 1280, for easy access to IO. When I was done, I moved on to use Arduino Pro Mini ATmega328P clones from China.
The norwegian telling of time is a bit different from english. instead of “half past one”, we say “half two”. And “twenty past two” becomes “ten to half three”. So my code is pretty much useless for the rest of the world, unless you redo the logics.
Code is here: https://github.com/phobicdotno/twoclock__clone_norwegian
A week ago my Ubuntu mining rigs started failing one by one. The only thing I had done was rebooting them.
LSHW shows all display cards as *-display UNCLAIMED. Googling a solution for this got no definitive solution, everywhere they say the AMD driver was broken.
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
$ sudo lshw -c display *-display UNCLAIMED description: VGA compatible controller product: Hawaii PRO [Radeon R9 290] vendor: Advanced Micro Devices, Inc. [AMD/ATI] physical id: 0 bus info: pci@0000:01:00.0 version: 00 width: 64 bits clock: 33MHz capabilities: pm pciexpress msi vga_controller cap_list configuration: latency=0 resources: memory:b0000000-bfffffff memory:cf800000-cfffffff ioport:ee00(size=256) memory:fda80000-fdabffff memory:fda00000-fda1ffff *-display UNCLAIMED description: VGA compatible controller product: Tahiti PRO [Radeon HD 7950/8950 OEM / R9 280] vendor: Advanced Micro Devices, Inc. [AMD/ATI] physical id: 0 bus info: pci@0000:02:00.0 version: 00 width: 64 bits clock: 33MHz capabilities: pm pciexpress msi vga_controller cap_list configuration: latency=0 resources: memory:d0000000-dfffffff memory:fdf80000-fdfbffff ioport:de00(size=256) memory:c0000-dffffll openssh-server |
CLINFO shows zero GPU’s
|
1 2 |
$ clinfo Number of platforms 0 |
Starting XMR-STAK-AMD gives this error, meaning it can’t find any GPUs.
|
1 2 3 |
$ ./startup.sh [2018-01-21 21:12:42] : Compiling code and initializing GPUs. This will take a while... [2018-01-21 21:12:42] : Error UNKNOWN_ERROR when calling clGetPlatformIDs for number of platforms |
Since I had spent so many hours trying on trying to fix this issue, I came to the conclusion that the easy fix was to just reinstall Ubuntu 16.04 with new driver install. And after the install, I would prevent the kernel from updating with this command:
|
1 |
sudo apt-mark hold linux-image-generic linux-headers-generic |
Show the menu choices at Grub start
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
$ grep menuentry /boot/grub/grub.cfg if [ x"${feature_menuentry_id}" = xy ]; then menuentry_id_option="--id" menuentry_id_option="" export menuentry_id_option menuentry 'Ubuntu' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-simple-eb23f808-79b1-4300-abc1-ce0a1755bc33' { submenu 'Advanced options for Ubuntu' $menuentry_id_option 'gnulinux-advanced-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.13.0-26-generic' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.13.0-26-generic-advanced-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.13.0-26-generic (upstart)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.13.0-26-generic-init-upstart-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.13.0-26-generic (recovery mode)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.13.0-26-generic-recovery-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-42-generic' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-42-generic-advanced-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-42-generic (upstart)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-42-generic-init-upstart-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-42-generic (recovery mode)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-42-generic-recovery-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-28-generic' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-28-generic-advanced-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-28-generic (upstart)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-28-generic-init-upstart-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Ubuntu, with Linux 4.10.0-28-generic (recovery mode)' --class ubuntu --class gnu-linux --class gnu --class os $menuentry_id_option 'gnulinux-4.10.0-28-generic-recovery-eb23f808-79b1-4300-abc1-ce0a1755bc33' { menuentry 'Memory test (memtest86+)' { menuentry 'Memory test (memtest86+, serial console 115200)' { |
Meny items starts at 0. The kernel version I want to switch to is 4.10.0-28-generic which is item number 6. Open Grub and setup this meny item.
|
1 |
sudo nano /etc/default/grub |
Change this line from 0 to 6.
|
1 |
GRUB_DEFAULT=6 |
Update Grub and reboot
|
1 |
sudo update-grub && sudo reboot 0 |
Create your own IOTA node.
https://iotasupport.com/knowledgebase_headless_node.shtml
This looks awesome.
https://github.com/ioiobzit/iota-nelson-node
Connect your IOTA Lightwallet to a norwegian (my) server:
http://iotaphobic.zapto.org:14265/
I have build my own little cinema room with a 109″ projector screen. Through the years I have used prettu much every media player there is. There is allways some limitations on control, display and movie handling. The latest years I have used Kodi media player, formerly known as XBMC, on a Raspberry. First on a RPi 1, this could only play 720p smoothly, then on a RPi2 that played 1080p smooth, but not including DTS sound. At last we got RPi that plays 1080p with any sound perfectly.
But still I’ve had some glitches playing movies over the network, even with 100MBit networks speed. So I though there was some buffering problems. Found the settings for buffering, and killed my MicroSD card in a week…
I have a bunch of small SSD laying around, and some I have put in a USB cover. The SSD would handle all the buffering writes much better. And maybe it would be faster.
Here is the step by step guide that worked for me.
|
1 2 |
cd ~/.kodi/userdata/ sudo nano advancedsettings.xml |
<cache> – When set to 0 the cache will be written to disk instead of RAM
<buffermode> – 1) Buffer all filesystems (including local)
<readfactor> – This factor determines the max readrate in terms of readfactor * avg bitrate of a video file.
I will collect some of the most useful Ubuntu terminal commands here, as I keep forgetting them…
|
1 |
sudo dpkg-reconfigure tzdata |
|
1 |
sudo apt install openssh-server |
|
1 |
ip addr show |
|
1 |
ssh username@ip-address |
|
1 |
sudo lshw -c display |
|
1 |
sudo lsblk -o NAME,FSTYPE,SIZE,MOUNTPOINT,LABEL |
|
1 |
sudo ntfsfix /dev/sdd1 |
Response:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
Mounting volume... The disk contains an unclean file system (0, 0). Metadata kept in Windows cache, refused to mount. FAILED Attempting to correct errors... Processing $MFT and $MFTMirr... Reading $MFT... OK Reading $MFTMirr... OK Comparing $MFTMirr to $MFT... OK Processing of $MFT and $MFTMirr completed successfully. Setting required flags on partition... OK Going to empty the journal ($LogFile)... OK Checking the alternate boot sector... OK NTFS volume version is 3.1. NTFS partition /dev/sdd1 was processed successfully. |
|
1 2 |
sudo apt install lm-sensors sensors |
|
1 2 3 4 5 |
sudo nano /etc/default/grub Change these lines: GRUB_CMDLINE_LINUX="text" GRUB_TERMINAL=console |
|
1 |
uname -r |
|
1 |
sudo apt-mark hold linux-image-generic linux-headers-generic |
|
1 |
sudo update-grub |
CTRL+SHIFT+F1/F2/F3 to open different Terminal logins
Monero: 43421mVq64BcqHos2QWsjpMmEPJLx5rmQTcrvCPeyRaEN7XzMsa2nqF9HtCTZhMY9gDrJt2CDgzBweHLPtDbDHmGRPj9rXN
https://supportxmr.com/#/dashboard
Sumo: Sumoo1CvNjKB3yTWiwDowKFZCrPkf74fg2BApVy1QAYrVTEfETjfkUsdwRyvhQbhh7MXsQ4sb6rcR1NDfezcwbah72DyjWYCA4J
Masari: 5iAnLwpjUUyFFvLCKNNQds5TMnnaCHrWi2k5QS6B5t4JJhLAWRgd5SVEyqBZr5t7Ws1hrBsJv2u2VFq9ghiQSpHTCqvAp7g
https://masari.superpools.net/#
Electronium: etnk3crkVJVCtP6L41KAUgDAKC6yQuCi9GAT4bAXwVsD18qhNKAut5M92L4sR6zu2oNVELmALFcppMsj7WVsZXYM5vKSrRx1Nm
https://electroneum.hashvault.pro/
I bough an old desktop, since one of my other test desktops died. Of course I wanted to set it up for XMR mining. I spend countless hour trying to install some OS one it, but they all failed. Googled my ass off. Tested the memory – all red… Why didn´t I start with that. Anyway, this setup worked.
Since Ubuntu Server comes with no GUI, I used my Macbook with SSH, so I could copy+paste stuff. At Mac Terminal
|
1 |
ssh karstein@192.168.0.206 |
Accept crypt key and enter password. (Change IP and username).
Of all the tutorials I tried, the one from AMD got me the furthest. All the reboots are important. Updating the system.
|
1 2 3 |
sudo apt update sudo apt dist-upgrade sudo reboot |
Download AMDGPU-PRO Driver Version 17.30 for Ubuntu 16.04.3
For some reason wget did not work for me on this file, so I downloaded the file to my Macbook and copied to Ubunty with scp. From Mac Terminal, in download folder:
|
1 |
scp amdgpu-pro-17.30-465504.tar.xz karstein@192.168.0.206:~/Downloads |
Back to Ubuntu.
|
1 2 3 4 5 6 |
cd ~/Downloads sudo apt-get install xz-utils tar -Jxvf amdgpu-pro-17.30-465504.tar.xz cd amdgpu-pro-17.30-465504 ./amdgpu-pro-install –y sudo reboot |
Check if you are member of the video group.
|
1 |
groups |
If you are not in the group, add with this command (karstein = your username)
|
1 |
sudo usermod -a -G video karstein |
Log off and on again to make the change.
The AMDGPU-Pro driver package incorporates the ROCm component that can be optionally installed for running Compute/OpenCL applications. Not entirely sure if I need it for mining, but this step made stuff work.
|
1 |
sudo apt install -y rocm-amdgpu-pro |
Install the opencl headers.
|
1 |
sudo apt-get install opencl-headers |
Now for the XMR-STAK-AMD compile. Normally it works with just cmake, but I got so many errors – and again hours of googling. Cmake needs all the parameters. It is possible to make symlinks for the libraries, but for me that didn’t work.
|
1 2 3 4 5 6 7 8 9 10 11 12 13 |
sudo add-apt-repository universe sudo add-apt-repository multiverse sudo apt-get update --assume-yes sudo apt install git --assume-yes sudo apt install cmake --assume-yes sudo apt install libmicrohttpd-dev libssl-dev cmake build-essential libhwloc-dev --assume-yes cd ~/Downloads/ git clone https://github.com/fireice-uk/xmr-stak-amd cd xmr-stak-amd cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/opt/amdgpu-pro/lib/x86_64-linux-gnu/libOpenCL.so -DOpenCL_INCLUDE_DIR=/etc/OpenCL/vendors . make install cd bin sudo nano startup.sh |
The last line creates a needed script file. Add the lines below. CTRL+X, Y + Enter for saving.
|
1 2 3 4 5 6 7 |
#!/bin/bash export GPU_FORCE_64BIT_PTR=1 export GPU_USE_SYNC_OBJECTS=1 export GPU_MAX_ALLOC_PERCENT=100 export GPU_SINGLE_ALLOC_PERCENT=100 export GPU_MAX_HEAP_SIZE=100 ./xmr-stak-amd |
If you don´t start XMR-STAK-AMD with this export script you will get the following error, which sent me on a wild goose chase for some hours.
|
1 2 3 |
[2017-10-19 15:30:20] : Compiling code and initializing GPUs. This will take a while... [2017-10-19 15:30:20] : Device 0 work size 8 / 256. [2017-10-19 15:30:20] : Error CL_OUT_OF_HOST_MEMORY when calling clCreateCommandQueueWithProperties. |
Open the config file for editing.
|
1 |
sudo nano config.txt |
Change these lines.
|
1 2 3 4 |
"gpu_thread_num" : 1, ---------------------------------------- "gpu_threads_conf" : [ "gpu_threads_conf" : [ { "index" : 0, "intensity" : 600, "worksize" : 8, "affine_to_cpu" : true }, ],---------------------------------------- |
There are lots of other settings to set, but these are the ones that makes it work. Intensity can probably go up to 7-800, but then the GPU got unstable and crashed. Some sites can use pool_password as identifier for your computers.
|
1 2 3 |
"pool_address" : "pool.supportxmr.com:7777", "wallet_address" : "43421mVq64BcqHos2QWsjpMmEPJLx5rmQTcrvCPeyRaEN7XzMsa2nqF9HtCTZhMY9gDrJt2CDgzBweHLPtDbDHmGRPj9rXN", "pool_password" : "HD7870", |
Make the startup script executable.
|
1 |
chmod +x startup.sh |
Finally, start XMR-STAK-AMD with
|
1 |
sudo ./startup.sh |
You should get a nice printout like this.
|
1 2 3 4 5 |
[2017-10-19 18:34:30] : Connecting to pool pool.supportxmr.com:3333 ... [2017-10-19 18:34:30] : Connected. Logging in... [2017-10-19 18:34:30] : Difficulty changed. Now: 1000. [2017-10-19 18:34:30] : New block detected. [2017-10-19 18:34:34] : Result accepted by the pool. |
supportxmr.com will give you nice stats for each pc.
EDIT: If you are REALLY lazy, download this script. Do a chmod on the file:
|
1 2 |
sudo chmod +x xmr-script.sh ./xmr-script.sh |
Be sure to read the text below, as you have to input some text while in nano.
Quick and dirty commands:
|
1 2 3 4 5 6 7 8 9 |
sudo apt install libmicrohttpd-dev libssl-dev cmake build-essential libhwloc-dev sudo apt install git cd ~/Downloads git clone https://github.com/fireice-uk/xmr-stak-nvidia cd xmr-stak-nvidia cmake . make install cd bin ./xmr-stak-nvidia |
This gives you something like this:
|
1 2 3 4 5 6 7 8 9 10 11 |
**************** Copy&Paste **************** "gpu_threads_conf" : [ { "index" : 0, "threads" : 32, "blocks" : 60, "bfactor" : 0, "bsleep" : 0, "affine_to_cpu" : false, }, ], **************** Copy&Paste **************** |
Add/replace the above to the config file:
|
1 |
nano config.txt |
Also add this, maybe change to your wallet address:
|
1 2 3 |
"pool_address" : "pool.usxmrpool.com:3333", "wallet_address" : "43421mVq64BcqHos2QWsjpMmEPJLx5rmQTcrvCPeyRaEN7XzMsa2nqF9HtCTZhMY9gDrJt2CDgzBweHLPtDbDHmGRPj9rXN", "pool_password" : "", |
CTRL+X , YES – to exit and save
Start the mining:
|
1 |
./xmr-stak-nvidia |
|
1 |
If everything is OK, you will get an output like this:
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
XMR-Stak-NVIDIA mining software, NVIDIA Version. NVIDIA mining code was written by KlausT and psychocrypt. Brought to you by fireice_uk under GPLv3. Configurable dev donation level is set to 1.0 % You can use following keys to display reports: 'h' - hashrate 'r' - results 'c' - connection ------------------------------------------------------------------- [2017-10-07 03:10:22] : Connecting to pool pool.usxmrpool.com:3333 ... [2017-10-07 03:10:22] : Connected. Logging in... [2017-10-07 03:10:23] : Difficulty changed. Now: 5000. [2017-10-07 03:10:23] : New block detected. [2017-10-07 03:10:45] : Result accepted by the pool. |
After some minutes, you can press ‘h’. This is the results if using Nvidia Geforce 1080
|
1 2 3 4 5 6 |
HASHRATE REPORT | ID | 10s | 60s | 15m | | 0 | 536.8 | (na) | (na) | --------------------------- Totals: 536.8 (na) (na) H/s Highest: 536.8 H/s |
sudo apt install linuxbrew-wrapper
cd Downloads/
git clone https://github.com/fireice-uk/xmr-stak-nvidia
cd xmr-stak-nvidia
cmake .
CMake Error at /usr/share/cmake-3.5/Modules/FindCUDA.cmake:617 (message):
Specify CUDA_TOOLKIT_ROOT_DIR
Browse to: https://developer.nvidia.com/cuda-downloads
In my case go to Linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)
Runfile(local)
sudo sh cuda_8.0.61_375.26_linux.run
CTRL+C for skipping 200 pages of EULA
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 375.26?
(y)es/(n)o/(q)uit: n
Install the CUDA 8.0 Toolkit?
(y)es/(n)o/(q)uit: y
karstein@phobic-ubuntu:~/Downloads$ lspci | grep -i nvidia01:00.0 VGA compatible controller: NVIDIA Corporation G92 [GeForce 8800 GT] (rev a2)
karstein@phobic-ubuntu:~/Downloads$ cd xmr-stak-nvidia
karstein@phobic-ubuntu:~/Downloads/xmr-stak-nvidia$ cmake .
— Configuring done
— Generating done
— Build files have been written to: /home/karstein/Downloads/xmr-stak-nvidia
make install -Wno-deprecated-gpu-targets
karstein@phobic-ubuntu:~/Downloads/xmr-stak-nvidia$ make install
[ 4%] Building NVCC (Device) object CMakeFiles/xmr-stak-nvidiaCuda.dir/nvcc_code/xmr-stak-nvidiaCuda_generated_cuda_core.cu.o
nvcc warning : The ‘compute_20’, ‘sm_20’, and ‘sm_21’ architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The ‘compute_20’, ‘sm_20’, and ‘sm_21’ architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
[ 9%] Building NVCC (Device) object CMakeFiles/xmr-stak-nvidiaCuda.dir/nvcc_code/xmr-stak-nvidiaCuda_generated_cuda_extra.cu.o
nvcc warning : The ‘compute_20’, ‘sm_20’, and ‘sm_21’ architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The ‘compute_20’, ‘sm_20’, and ‘sm_21’ architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
Scanning dependencies of target xmr-stak-nvidiaCuda
[ 14%] Linking CXX static library libxmr-stak-nvidiaCuda.a
[ 14%] Built target xmr-stak-nvidiaCuda
Scanning dependencies of target xmr-stak-nvidiaCrypto
[ 19%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/c_groestl.c.o
[ 23%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/c_skein.c.o
[ 28%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/c_keccak.c.o
[ 33%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/c_blake256.c.o
[ 38%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/soft_aes.c.o
[ 42%] Building C object CMakeFiles/xmr-stak-nvidiaCrypto.dir/crypto/c_jh.c.o
[ 47%] Linking C static library libxmr-stak-nvidiaCrypto.a
[ 47%] Built target xmr-stak-nvidiaCrypto
Scanning dependencies of target xmr-stak-nvidia
[ 52%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/webdesign.cpp.o
[ 57%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/console.cpp.o
[ 61%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/socket.cpp.o
[ 66%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/jpsock.cpp.o
[ 71%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/jconf.cpp.o
[ 76%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/executor.cpp.o
[ 80%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/minethd.cpp.o
[ 85%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/httpd.cpp.o
[ 90%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/cli-miner.cpp.o
[ 95%] Building CXX object CMakeFiles/xmr-stak-nvidia.dir/crypto/cryptonight_common.cpp.o
[100%] Linking CXX executable bin/xmr-stak-nvidia
[100%] Built target xmr-stak-nvidia
I have spent countless hours trying to install CUDA on my old computer with Geforce 8800 GT with Ubuntu 16.04 – and according the matching google hits, several others also have problems.
But my main conclusion is, for NVIDIA Geforce 8800 GT:
Of all the tutorials and forum posts I have found, this is the only one actually working:
https://kislayabhi.github.io/Installing_CUDA_with_Ubuntu/
But I had to modifiy it for my use, and that is the tutorial below.
Install build essentials and do an update.
|
1 2 3 4 |
sudo apt-get install build-essential sudo apt-get update sudo apt-get upgrade cd ~/Downloads |
Download 64-bit Ubuntu driver cuda_6.5.14_linux_64.run from NVIDIA.
Open up a terminal (CTRL+SHIFT+T) and check if the downloaded file cuda_6.5.14_linux_64.run is executable, it should be green.
If it is white, it’s not executable, and you have to run:
|
1 2 |
sudo chmod +x cuda_6.5.14_linux_64.run sudo chmod +x NVIDIA-Linux-x86_64-340.104.run |
You can now extract the separate installers via:
|
1 2 3 4 5 |
mkdir ~/Downloads/nvidia_installers cd ~/Downloads sudo ./cuda_6.5.14_linux_64.run -extract=~/Downloads/nvidia_installers cd nvidia_installers rm -rf NVIDIA-Linux-x86_64-340.29.run |
Download NVIDIA-Linux-x86_64-340.104 instead of the default nvidia-304.29 that comes with the toolkit from here: http://www.nvidia.com/Download/driverResults.aspx/123703/en-us
Completely uninstall anything in the Ubuntu repositories with nvidia-* A purge will completely uninstall programs and configuration.
|
1 |
sudo apt-get --purge remove nvidia-* |
No need to create an xorg.conf file. If you have one, remove it (assuming you have a fresh OS install).
|
1 |
sudo rm /etc/X11/xorg.conf |
Create theblacklist-nouveau.conf file
|
1 |
sudo nano /etc/modprobe.d/blacklist-nouveau.conf |
Add these two lines:
|
1 2 |
blacklist nouveau options nouveau modeset=0 |
|
1 |
sudo update-initramfs -u |
Reboot computer. Nothing should have changed in loading up menu. You should be taken to the login screen. Once there type: Ctrl + Alt + F1, and login to your user. Keep the next commands handy in another machine since now you are in tty.
In tty:
|
1 2 |
cd ~/Downloads/nvidia_installers; sudo service lightdm stop |
The top line is a necessary step for installing the driver. Then do
|
1 2 |
sudo ./NVIDIA-Linux-x86_64-340.104 <strong>--no-opengl-files </strong> |
Direct quote from Abhijeet Kislay, and this is what makes the differense from ALL other tutorials and forum posts I have seen!
I cannot stress how important is the opengl flag in the above command. If you miss that, either you will get stuck in “login loop” or your computer would boot with a black screen at all times.
If you get a problem with the driver saying X is running, do this, and try again:
|
1 2 |
cd /tmp sudo rm -rf .X0-lock |
Install the toolkit
|
1 2 |
sudo ./cuda-linux64-rel-6.5.14-18749181.run sudo ./cuda-samples-linux-6.5.14-18745345.run |
Set Environment path variables in .bashrc
|
1 2 |
export PATH=/usr/local/cuda-6.5/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64:$LD_LIBRARY_PATH |
Verify the driver version
|
1 |
cat /proc/driver/nvidia/version |
Answer will be something like this
|
1 2 |
NVRM version: NVIDIA UNIX x86_64 Kernel Module 340.104 Thu Sep 14 17:13:13 PDT 2017 GCC version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.4) |
Check CUDA driver version:
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nvcc -V |
Answer
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nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2015 NVIDIA Corporation Built on Tue_Aug_11_14:27:32_CDT_2015 Cuda compilation tools, release 7.5, V7.5.17 |
At this point you can switch the lightdm back on again by doing:
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sudo service lightdm start |
Fix/break the header file that doesn’t want to let us use gcc > 4.8. All we are going to do is comment out (//) the error line that drops you out of a build.
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sudo nano /usr/local/cuda/include/host_config.h |
In nano press CTRL+SHIFT+_ to enter line number.
Line: 82 – comment out error //#error — unsupported GNU version! gcc 4.9 and up are not supported!
To see if we are properly done with the installation, we need to run a sample.
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cd /usr/local/cuda/samples/1_Utilities/deviceQuery sudo make ./deviceQuery |
Something like this should show up
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./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce 8800 GT" CUDA Driver Version / Runtime Version 6.5 / 6.5 CUDA Capability Major/Minor version number: 1.1 Total amount of global memory: 512 MBytes (536543232 bytes) (14) Multiprocessors, ( 8) CUDA Cores/MP: 112 CUDA Cores GPU Clock rate: 1500 MHz (1.50 GHz) Memory Clock rate: 900 Mhz Memory Bus Width: 256-bit Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048) Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 8192 Warp size: 32 Maximum number of threads per multiprocessor: 768 Maximum number of threads per block: 512 Max dimension size of a thread block (x,y,z): (512, 512, 64) Max dimension size of a grid size (x,y,z): (65535, 65535, 1) Maximum memory pitch: 2147483647 bytes Texture alignment: 256 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): No Device PCI Bus ID / PCI location ID: 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce 8800 GT Result = PASS |
And now everything works perfect.
Sjekk ut:
https://github.com/xmrMiner/xmrMiner/blob/master/INSTALL.md