1.0Plunify 浦利丰https://www.plunify.com/cnKirvy Teohttps://www.plunify.com/cn/author/kirvy/rich600338<blockquote class="wp-embedded-content"><a href="https://www.plunify.com/cn/intime/">InTime – FPGA 时序收敛与优化专家</a></blockquote> <script type='text/javascript'> <!--//--><![CDATA[//><!-- /*! This file is auto-generated */ !function(d,l){"use strict";var e=!1,n=!1;if(l.querySelector)if(d.addEventListener)e=!0;if(d.wp=d.wp||{},!d.wp.receiveEmbedMessage)if(d.wp.receiveEmbedMessage=function(e){var t=e.data;if(t)if(t.secret||t.message||t.value)if(!/[^a-zA-Z0-9]/.test(t.secret)){for(var r,i,a,s=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),n=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),o=new RegExp("^https?:$","i"),c=0;c<n.length;c++)n[c].style.display="none";for(c=0;c<s.length;c++)if(r=s[c],e.source===r.contentWindow){if(r.removeAttribute("style"),"height"===t.message){if(1e3<(a=parseInt(t.value,10)))a=1e3;else if(~~a<200)a=200;r.height=a}if("link"===t.message)if(i=l.createElement("a"),a=l.createElement("a"),i.href=r.getAttribute("src"),a.href=t.value,o.test(a.protocol))if(a.host===i.host)if(l.activeElement===r)d.top.location.href=t.value}}},e)d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",t,!1),d.addEventListener("load",t,!1);function t(){if(!n){n=!0;for(var e,t,r=-1!==navigator.appVersion.indexOf("MSIE 10"),i=!!navigator.userAgent.match(/Trident.*rv:11\./),a=l.querySelectorAll("iframe.wp-embedded-content"),s=0;s<a.length;s++){if(!(e=a[s]).getAttribute("data-secret"))t=Math.random().toString(36).substr(2,10),e.src+="#?secret="+t,e.setAttribute("data-secret",t);if(r||i)(t=e.cloneNode(!0)).removeAttribute("security"),e.parentNode.replaceChild(t,e)}}}}(window,document); //--><!]]> </script><iframe sandbox="allow-scripts" security="restricted" src="https://www.plunify.com/cn/intime/embed/" width="600" height="338" title="“InTime – FPGA 时序收敛与优化专家” — Plunify 浦利丰" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe>[vc_row row_type=”row” stretch_row_type=”no”][vc_column][vc_column_text css=”.vc_custom_1539055857438{margin-top: 65px !important;margin-bottom: 65px !important;padding-top: px !important;}”] InTime, FPGA 时序收敛与优化 [/vc_column_text][vc_row_inner][vc_column_inner width=”1/2″][vc_single_image source=”external_link” custom_src=”https://www.plunify.com/en/wp-content/uploads/sites/8/2018/08/InTime_UI_new.jpg”][/vc_column_inner][vc_column_inner width=”1/2″][vc_column_text css=”.vc_custom_1620711761301{background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}”]InTime是一款通过数据分析与强大计算能力来优化 FPGA 时序与性能的机器学习软件。 Vivado, Quartus, ISE 和 Libero 等一系列的 FPGA 软件在合适的设置下可以提供很多有益的优化。InTime 的内置智能 (built-in intelligence) 能够识别这些针对综合和布局布线的优化策略。它积极地从之前的结果中学习，并进行自我升级，使 FPGA 软件在设计性能上达到超过50%的提升。[/vc_column_text][/vc_column_inner][/vc_row_inner][vc_empty_space height=”10px”][vc_separator color=”chino” style=”shadow” css=”.vc_custom_1531815373883{margin-top: 0px !important;margin-bottom: 0px !important;}”][vc_empty_space height=”60px”][vc_row_inner][vc_column_inner width=”1/2″ css=”.vc_custom_1486631727673{margin-bottom: 50px !important;}”][vc_column_text css_animation=”left-to-right”] 结果优化，RTL […]https://www.plunify.com/en/wp-content/uploads/sites/8/2018/08/aws-powered-by-300x122.jpg