Vulkan is a low-overhead, cross-platform 3D graphics and compute API.
Vulkan targets high-performance realtime 3D graphics applications such as games and interactive media across multiple platforms providing higher performance and lower CPU usage.
| #! /usr/bin/env python | |
| import sys | |
| import os | |
| #import gevent | |
| def convert_to_mp4(path, new_filename, old_filename): | |
| threads = 4 | |
| os.chdir(path) |
| <form action="<%= action %>" method="post"> | |
| <% if (fields.length) { %> | |
| <% fields.forEach(function(field){ %> | |
| <label><%= field.name %></label> | |
| <input type="<%= field.type %>" name="<%= field.name %>" <% if (field.property) { %> <%= field.property %> <% } %> > | |
| <% }) %> | |
| <% } %> | |
| <button type="submit"><%= title %></button> <!--Title for button is same as that of the page--> |
| // For stackoverflow question: | |
| // http://stackoverflow.com/questions/30445801/ios8-metal-compute-pipeline-slower-than-cpu | |
| // I. CODE INVOKED ONCE, AT THE INIT STAGE: | |
| _mtlCharTable = [_mtlDevice newBufferWithBytes:_charTable->pointer length:_charTable->bytesTotal options:0]; | |
| _mtlSearchMasks = [_mtlDevice newBufferWithBytesNoCopy:_searchIndexes.mask length:_searchIndexes.bytesTotalMask options:0 deallocator:nil]; | |
| //iPhone 6: maxTotalThreadsPerThreadgroup: 512, threadExecutionWidth: 32 | |
| uint threadsPerThreadGroup = [_mtlComputePipelineState maxTotalThreadsPerThreadgroup];// / 4.0; |
| module.exports = function (app) { | |
| var _ = require('lodash'); | |
| var User = app.models.User; | |
| var Role = app.models.Role; | |
| var RoleMapping = app.models.RoleMapping; | |
| var ACL = app.models.ACL; | |
| /* | |
| * Configure ACL's | |
| */ |
| --[[ | |
| Youtube playlist importer for VLC media player 1.1 and 2.0 | |
| Copyright 2012 Guillaume Le Maout | |
| Authors: Guillaume Le Maout | |
| Contact: http://addons.videolan.org/messages/?action=newmessage&username=exebetche | |
| This program is free software; you can redistribute it and/or modify | |
| it under the terms of the GNU General Public License as published by | |
| the Free Software Foundation; either version 2 of the License, or |
| #!/bin/bash | |
| ### steps #### | |
| # Verify the system has a cuda-capable gpu | |
| # Download and install the nvidia cuda toolkit and cudnn | |
| # Setup environmental variables | |
| # Verify the installation | |
| ### | |
| ### to verify your gpu is cuda enable check |
| #!/usr/bin/env python3 | |
| """A MQTT to InfluxDB Bridge | |
| This script receives MQTT data and saves those to InfluxDB. | |
| """ | |
| import re | |
| from typing import NamedTuple |