WARNING This installation will REPLACE existing Nvidia driver
Download CUDA https://developer.nvidia.com/cuda-downloads (tested with CUDA 10) Run commands:
sudo dpkg -i cuda-repo-<version>.deb
sudo apt-key add /var/cuda-repo-<version>/7fa2af80.pub
sudo apt-get update
| Random Ubuntu commands and scripts |
| const API_URL = 'https://example.com'; | |
| const AUTH = 'Basic XXXXXXXXXXXXXXXXXXXXXX'; | |
| function getContact(phone) { | |
| const res = UrlFetchApp.fetch(`${API_URL}/contacts/${phone}@c.us`, { | |
| method : 'get', | |
| contentType: 'application/json', | |
| headers : { | |
| Authorization: AUTH, | |
| }, |
| SQL scripts |
| Random collection of python scripts |
| Simple CUDA and OpenCL code | |
| Compilation: | |
| * CUDA (*.cu): nvcc filename.cu | |
| * CUDA + CUBLAS (*.cu): nvcc filename.cu -lcublas | |
| * OpenCL (*.c): gcc filename.c -lOpenCL |
| Python machine learning scripts |
| Random PHP scripts |
| # Add this blocks of code below to atom.io init.coffe (init scripts) to implement the feature | |
| # Custom file extension mapping | |
| # description: let atom.io automatically apply certain syntax highlighting (eg. C) to new certain extension (eg. *.cl) | |
| # start | |
| {extname} = require 'path' | |
| fileTypes = | |
| '.cl': 'text.source.c' |
| Random shell scripts |