{"version":"1.0","provider_name":"C++ Team Blog","provider_url":"https:\/\/devblogs.microsoft.com\/cppblog","author_name":"Ankit Asthana","author_url":"https:\/\/devblogs.microsoft.com\/cppblog\/author\/ankitasthana\/","title":"Profile Guided Optimization (PGO) - C++ Team Blog","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"pjlPOOYlw7\"><a href=\"https:\/\/devblogs.microsoft.com\/cppblog\/profile-guided-optimization-pgo\/\">Profile Guided Optimization (PGO)<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/devblogs.microsoft.com\/cppblog\/profile-guided-optimization-pgo\/embed\/#?secret=pjlPOOYlw7\" width=\"600\" height=\"338\" title=\"&#8220;Profile Guided Optimization (PGO)&#8221; &#8212; C++ Team Blog\" data-secret=\"pjlPOOYlw7\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/devblogs.microsoft.com\/cppblog\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/devblogs.microsoft.com\/cppblog\/wp-content\/uploads\/sites\/9\/2018\/08\/cplusplusfeature.png","thumbnail_width":558,"thumbnail_height":350,"description":"PGO is a runtime compiler optimization which leverages profile data collected from running important and performance centric user scenarios to build an optimized version of the application. PGO optimizations have some significant advantage over traditional static optimizations as they are based upon how the application is likely to perform in a production environment which allow [&hellip;]"}