{"version":"1.0","provider_name":".NET Blog","provider_url":"https:\/\/devblogs.microsoft.com\/dotnet","author_name":"Stephen Toub - MSFT","author_url":"https:\/\/devblogs.microsoft.com\/dotnet\/author\/toub\/","title":"Scaling out PLINQ: DryadLINQ at PDC09 and Supercomputing09 - .NET Blog","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"eBfKO2897Q\"><a href=\"https:\/\/devblogs.microsoft.com\/dotnet\/scaling-out-plinq-dryadlinq-at-pdc09-and-supercomputing09\/\">Scaling out PLINQ: DryadLINQ at PDC09 and Supercomputing09<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/devblogs.microsoft.com\/dotnet\/scaling-out-plinq-dryadlinq-at-pdc09-and-supercomputing09\/embed\/#?secret=eBfKO2897Q\" width=\"600\" height=\"338\" title=\"&#8220;Scaling out PLINQ: DryadLINQ at PDC09 and Supercomputing09&#8221; &#8212; .NET Blog\" data-secret=\"eBfKO2897Q\" 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\/dotnet\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","thumbnail_url":"https:\/\/devblogs.microsoft.com\/dotnet\/wp-content\/uploads\/sites\/10\/2023\/07\/230663244-b12e77a9-ffbc-40e9-b360-58a3fb3b4c9d-Copy-2-Copy.png","thumbnail_width":1205,"thumbnail_height":522,"description":"PLINQ enables developers to scale up computations in order to leverage the multiple cores available in modern hardware. For many problem domains, this is quite useful and sufficient. What happens, however, when a workload being processed is so big that even a manycore machine is insufficient to adequately handle the load? This can be the [&hellip;]"}