貌似很多人都是在windows下挖矿。
用Linux挖还真是个技术活
首先在Ubuntu 16.04的桌面选software & updates-->additional drivers
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这里装上了nvidia的binary driver--387.26
ok
然后去https://developer.nvidia.com/cuda-downloads，按自己的选项，选择deb(local)
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然后装cuda的deb包，按自己的包安装pub key，更新源，升级，安装cuda-toolkit-9-1
dpkg -i cuda-repo-ubuntu1604-9-1-local_9.1.85-1_amd64.deb
apt-key add /var/cuda-repo-9-1-local/7fa2af80.pub
apt-get update
apt-get upgrade
apt-get install cuda-toolkit-9-1
这里有个大坑，本来八戒的ubuntu是禁止了系统升级的，所以cuda9.1怎么也装不上，提示包依赖错误，后来打开了系统自动升级，才好，大家要注意。
测试一下cuda是否正确，运行deviceQuery后看到结果“Result = PASS” 就表明cuda没问题了
cd /usr/local/cuda/samples/1_Utilities/deviceQuery && sudo make
/usr/local/cuda/samples/1_Utilities/deviceQuery/deviceQuery
然后下载项目xmr-stak
sudo apt install libmicrohttpd-dev libssl-dev cmake build-essential libhwloc-dev
git clone https://github.com/fireice-uk/xmr-stak.git
mkdir xmr-stak/build
cd xmr-stak/build
cmake .. -DOpenCL_ENABLE=OFF # Added the flag, otherwise I'd have to install OpenCL
make install
哈哈哈，编译到80%的时候报错
......
[ 76%] Built target xmr-stak-backend
[ 80%] Building NVCC (Device) object CMakeFiles/xmrstak_cuda_backend.dir/xmrstak/backend/nvidia/nvcc_code/xmrstak_cuda_backend_generated_cuda_extra.cu.o
/home/mryukeen/Documents/xmr-stak/xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu:9:32: fatal error: device_functions.hpp: No such file or directory
compilation terminated.
CMake Error at xmrstak_cuda_backend_generated_cuda_extra.cu.o.cmake:207 (message):
Error generating
/home/mryukeen/Documents/xmr-stak/build/CMakeFiles/xmrstak_cuda_backend.dir/xmrstak/backend/nvidia/nvcc_code/./xmrstak_cuda_backend_generated_cuda_extra.cu.o
CMakeFiles/xmrstak_cuda_backend.dir/build.make:70: recipe for target 'CMakeFiles/xmrstak_cuda_backend.dir/xmrstak/backend/nvidia/nvcc_code/xmrstak_cuda_backend_generated_cuda_extra.cu.o' failed
make[2]: *** [CMakeFiles/xmrstak_cuda_backend.dir/xmrstak/backend/nvidia/nvcc_code/xmrstak_cuda_backend_generated_cuda_extra.cu.o] Error 1
CMakeFiles/Makefile2:142: recipe for target 'CMakeFiles/xmrstak_cuda_backend.dir/all' failed
make[1]: *** [CMakeFiles/xmrstak_cuda_backend.dir/all] Error 2
Makefile:127: recipe for target 'all' failed
make: *** [all] Error 2
我就去了，改，先把当前用户的路径和环境变量弄对了，然后重新登录
sudo usermod -a -G video $USER
echo "" >> ~/.bashrc
echo "export PATH=/usr/local/cuda/bin:$PATH" >> ~/.bashrc
echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH" >> ~/.bashrc
继续编译还是报错，看来需要修改一下源代码，把xmrstak/backend/nvidia/nvcccode/cudaextra.cu的代码中第九行删除
#include <device_functions.hpp>
用shell脚本直接搞定
cd xmr-stak
sed -i '9d' xmrstak/backend/nvidia/nvcc_code/cuda_extra.cu
然后再编译就可以通过了，注意，会花很长时间才会编译成功。
然后运行xmr-stak，会问你配置，注意poll_address，推荐us.moriaxmr.com:5555，手续费0.2，比较低，password的格式是workid:邮箱地址
"pool_address" : "us.moriaxmr.com:5555",
"pool_password" : "q:bajie@gmail.com",
注意修改cpu.txt和nvidia.txt文件，缺省是疯狂挖矿模式，实际只用1半cpu比较好，八戒的cpu是i7-4790k，虚拟8核的，只用4个就够了
cpu.txt
"cpu_threads_conf" :
[
{ "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 0 },
{ "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 1 },
{ "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 2 },
{ "low_power_mode" : false, "no_prefetch" : true, "affine_to_cpu" : 3 },
],
nvidia.txt
"gpu_threads_conf" : [ { "index" : 0, "threads" : 42, "blocks" : 8, "bfactor" : 8, "bsleep" : 100, "affine_to_cpu" : true, },],
然后开挖，https://moriaxmr.com:8443/#/dashboard可以查看挖矿的状况
登录的时候输入自己的钱包地址和邮箱地址就可以了
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这样两台的目标就都很明确，麻烦的是需要来回登录来构建项目，那么有没有方法从第一台上直接调用第二台的项目进行构建呢？
