{"version":"1.0","provider_name":"matforge.org","provider_url":"https:\/\/matforge.org","author_name":"steven","author_url":"https:\/\/matforge.org\/author\/steven\/","title":"Cuantificaci\u00f3n de incertidumbre acelerada por GPU: escalando los m\u00e9todos de Monte Carlo y PCE en GPU - matforge.org","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"7Lmhx2SvzO\"><a href=\"https:\/\/matforge.org\/es\/gpu-accelerated-uncertainty-quantification-monte-carlo-pce\/\">Cuantificaci\u00f3n de incertidumbre acelerada por GPU: escalando los m\u00e9todos de Monte Carlo y PCE en GPU<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/matforge.org\/es\/gpu-accelerated-uncertainty-quantification-monte-carlo-pce\/embed\/#?secret=7Lmhx2SvzO\" width=\"600\" height=\"338\" title=\"\u00abCuantificaci\u00f3n de incertidumbre acelerada por GPU: escalando los m\u00e9todos de Monte Carlo y PCE en GPU\u00bb \u2014 matforge.org\" data-secret=\"7Lmhx2SvzO\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\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:\/\/matforge.org\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Controls clave La aceleraci\u00f3n de GPU ofrece una aceleraci\u00f3n de 10 a 1000 \u00d7 para el muestreo por lotes de Monte Carlo en comparaci\u00f3n con los enfoques solo de CPU. pygpc es actualmente la \u00fanica biblioteca UQ de Python con compatibilidad nativa de GPU (CUDA) para el c\u00e1lculo de PCE. Numba @cuda.jit supera a CUPY [&hellip;]","thumbnail_url":"https:\/\/github.com\/nvidia\/warp\/raw\/main\/docs\/images\/warp_overview.png"}