The easiest way to set the power limit permanently in ubutu with an nvidia graphics card is as follows.
#!/bin/bash sudo nvidia-smi -pm 1 sudo nvidia-smi -pl 150 -i 0
Fixes /usr/lib/libnvidia-gtk3.so.440.33.01: undefined symbol: gtk_widget_hide_on_delete
Step 1 : Check nvidia-smi for version first
Step 2: Locate nvidia-settings with same version as Step 1 at https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/ and download with wget to your system.
Step 3: Follow steps below replacing XXX with the version you downloaded.
sudo apt-get remove nvidia-modprobe nvidia-settings sudo dpkg -i nvidia-settings_XXX.deb sudo reboot now
Fixes NVIDIA-384 problem with libEGL.so.1 is not a symbolic link
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sudo mv /usr/lib/nvidia-384/libEGL.so.1 /usr/lib/nvidia-384/libEGL.so.1.org
sudo mv /usr/lib32/nvidia-384/libEGL.so.1 /usr/lib32/nvidia-384/libEGL.so.1.org
sudo ln -s /usr/lib/nvidia-384/libEGL.so.384.90 /usr/lib/nvidia-384/libEGL.so.1
sudo ln -s /usr/lib32/nvidia-384/libEGL.so.384.90 /usr/lib32/nvidia-384/libEGL.so.1
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sudo mv /usr/lib/nvidia-375/libEGL.so.1 /usr/lib/nvidia-375/libEGL.so.1.org
sudo mv /usr/lib32/nvidia-375/libEGL.so.1 /usr/lib32/nvidia-375/libEGL.so.1.org
sudo ln -s /usr/lib/nvidia-375/libEGL.so.375.39 /usr/lib/nvidia-375/libEGL.so.1
sudo ln -s /usr/lib32/nvidia-375/libEGL.so.375.39 /usr/lib32/nvidia-375/libEGL.so.1
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This guide will teach you how to install ccminer sp-hash on Ubuntu 16.04
You must first run Install NVIDIA Driver and CUDA on Ubuntu 16.04 before proceeding.
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#!/bin/bash
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib
export PATH=$PATH:/usr/local/cuda-8.0/bin
echo ‘export PATH=/usr/local/cuda-8.0/bin:$PATH’ >> ~/.bashrc
mkdir sphash
cd sphash
git clone https://github.com/sp-hash/ccminer.git
cd ccminer/
./autogen.sh
./configure CFLAGS=”-O3 -Wall -march=native”
make
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To buy a pre-compiled Dockerfile with this image check my selection of miner friendly Dockerfiles at https://docker.cryptoandcoffee.com
This guide will teach you how to install ccminer tpruvot on Ubuntu 16.04
You must first run Install NVIDIA Driver and CUDA on Ubuntu 16.04 before proceeding.
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#!/bin/bash
mkdir tpruvot
cd tpruvot
git clone https://github.com/tpruvot/ccminer.git
cd ccminer/
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib
export PATH=$PATH:/usr/local/cuda-8.0/bin
echo ‘export PATH=/usr/local/cuda-8.0/bin:$PATH’ >> ~/.bashrc
./autogen.sh
./configure
make
echo “Finished”
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To buy a pre-compiled Docker container with this image compatible with NVIDIA GPU’s check my selection of miner friendly Docker containers at https://cryptoandcoffee.com
This guide will teach you how to install ccminer alexis78 on Ubuntu 16.04
You must first run Install NVIDIA Driver and CUDA on Ubuntu 16.04 before proceeding.
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mkdir alexis78
cd alexis78
git clone https://github.com/alexis78/ccminer.git
cd ccminer/
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib
export PATH=$PATH:/usr/local/cuda-8.0/bin
./autogen.sh
./configure
make
echo “Finished”
exit
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To buy a pre-compiled Dockerfile with this image check my selection of miner friendly Dockerfiles at https://docker.cryptoandcoffee.com
The fastest algorithm to mine on NVIDIA is by far Skein. This fork of ccminer from Klaust is definitely the fastest build of ccminer I have found to mine Skein on NVIDIA CUDA.
You must first run Install NVIDIA Driver and CUDA on Ubuntu 16.04 before proceeding.
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#!/bin/bash
mkdir klaust
cd klaust
wget https://github.com/KlausT/ccminer/archive/8.09.zip
apt-get install -y unzip
unzip 8.09.zip
cd ccminer-8.09
apt-get install -y python3-dev
echo ‘add_compile_options(-std=c++11)’ >> ./CMakeLists.txt
./autogen.sh
./configure
make
echo “Finished”
exit
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To buy a pre-compiled Dockerfile with this image check my selection of miner friendly Dockerfiles at https://docker.cryptoandcoffee.com
These instructions are to Install NVIDIA Driver and CUDA on Ubuntu 16.04.