{"id":1591,"date":"2014-04-16T05:03:00","date_gmt":"2014-04-16T05:03:00","guid":{"rendered":"http:\/\/support.plunify.com\/en\/2014\/04\/16\/area-versus-speed-observations-intime\/"},"modified":"2017-11-01T02:10:09","modified_gmt":"2017-11-01T02:10:09","slug":"area-versus-speed-observations-intime","status":"publish","type":"post","link":"https:\/\/support.plunify.com\/en\/2014\/04\/16\/area-versus-speed-observations-intime\/","title":{"rendered":"Area versus Speed observations &#8211; InTime"},"content":{"rendered":"<div style=\"clear: both;text-align: center\"><a style=\"clear: right;float: right;margin-bottom: 1em;margin-left: 1em\" href=\"https:\/\/i2.wp.com\/2.bp.blogspot.com\/--vwpMToaza0\/U04R_TYFcZI\/AAAAAAAACX8\/6qXlFJIhpK8\/s1600\/inverse.jpg?ssl=1\"><img loading=\"lazy\" src=\"https:\/\/i2.wp.com\/2.bp.blogspot.com\/--vwpMToaza0\/U04R_TYFcZI\/AAAAAAAACX8\/6qXlFJIhpK8\/s1600\/inverse.jpg?resize=320%2C196&#038;ssl=1\" width=\"320\" height=\"196\" border=\"0\" data-recalc-dims=\"1\" \/><\/a><\/div>\n<p>During <a href=\"http:\/\/www.plunify.com\/en\/product.php\" target=\"_blank\">InTime<\/a> development, we got curious about the commonly-held premise that Area and Speed (and correspondingly, timing score) have an inverse relationship. Meaning that if you want more speed, you'd need to sacrifice area and vice versa.<\/p>\n<p>So we did tests on many designs to verify this relationship. Basically to obtain the results, we built those designs with different combinations of synthesis and place\/route settings, without any change to the source code.<\/p>\n<p><a name=\"more\"><\/a><br \/>\nThen we plotted Timing Score (ns) versus Utilization (%).<\/p>\n<p><u>Definitions:<\/u><br \/>\n<i><br \/>\n<\/i><i>Timing Score:<\/i><\/p>\n<ul>\n<li>Sum of Total Negative Slack values throughout the design.<\/li>\n<li>Ideal value is 0 which implies no timing errors (able to achieve Speed target).<\/li>\n<li>Referred to as \"Speed\" in the graphs.<\/li>\n<\/ul>\n<p><i>Utilization<\/i><\/p>\n<ul>\n<li>Percentage of logic used.<\/li>\n<li>Ideal value is as low as possible.<\/li>\n<li>Referred to as \"Area\" in the graphs.<\/li>\n<\/ul>\n<p>Two representative examples that we shall call A and B are shown below.<br \/>\nDesign A has 50% device utilization and Design B, 70%. \u00a0We used InTime to test 1000 different groups of tool settings, varying between optimizing for area, speed or both.<\/p>\n<p>Here's a snapshot of what we found. Note that the scale of the \"Speed\" axis is logarithmic.<\/p>\n<div style=\"clear: both;text-align: center\"><\/div>\n<p>&nbsp;<\/p>\n<div style=\"clear: both;text-align: center\"><\/div>\n<div style=\"text-align: center\"><span style=\"font-family: inherit\"><b><u>Design A<\/u><\/b><\/span><\/div>\n<div style=\"clear: both;text-align: center\"><a style=\"margin-left: 1em;margin-right: 1em\" href=\"https:\/\/i1.wp.com\/1.bp.blogspot.com\/-_qfSJbnEQuA\/U03oSmOWe5I\/AAAAAAAACXU\/duICGg-4nVg\/s1600\/DesignA.jpg?ssl=1\"><img loading=\"lazy\" src=\"https:\/\/i1.wp.com\/1.bp.blogspot.com\/-_qfSJbnEQuA\/U03oSmOWe5I\/AAAAAAAACXU\/duICGg-4nVg\/s1600\/DesignA.jpg?resize=640%2C344&#038;ssl=1\" width=\"640\" height=\"344\" border=\"0\" data-recalc-dims=\"1\" \/><\/a><\/div>\n<div style=\"text-align: center\">\n<b><u>Design B<\/u><\/b><\/div>\n<div style=\"clear: both;text-align: center\"><a style=\"margin-left: 1em;margin-right: 1em\" href=\"https:\/\/i2.wp.com\/4.bp.blogspot.com\/-UdGE0LkEpVM\/U03nevEG74I\/AAAAAAAACXM\/VyRObzO0LYA\/s1600\/designB.jpg?ssl=1\"><img loading=\"lazy\" src=\"https:\/\/i2.wp.com\/4.bp.blogspot.com\/-UdGE0LkEpVM\/U03nevEG74I\/AAAAAAAACXM\/VyRObzO0LYA\/s1600\/designB.jpg?resize=640%2C318&#038;ssl=1\" width=\"640\" height=\"318\" border=\"0\" data-recalc-dims=\"1\" \/><\/a><\/div>\n<p>Just by eyeballing the above, you can probably tell that if you plot a trend line, it will curve upwards towards the right.<\/p>\n<p><u>More importantly, these plots suggest that higher area doesn't necessary equate to faster speed<\/u>. \u00a0This is shown by the absence of significant data in the circled portions below.<\/p>\n<p>For Design A, if you ignore the four outliers on the upper right, the majority of the builds achieve Area within a 45% - 65% range and when Timing Scores are around 1000. However, the lack of any Area results above 55% when Timing Scores are good (closer to 0) is telling.<\/p>\n<div style=\"text-align: center\"><b><u>Design A<\/u><\/b><\/div>\n<div style=\"clear: both;text-align: center\"><a style=\"margin-left: 1em;margin-right: 1em\" href=\"https:\/\/i0.wp.com\/3.bp.blogspot.com\/-VEe5Fehv1zk\/U03oSqAZq8I\/AAAAAAAACXY\/GjomOHxc7zc\/s1600\/DesignA_10.jpg?ssl=1\"><img loading=\"lazy\" src=\"https:\/\/i0.wp.com\/3.bp.blogspot.com\/-VEe5Fehv1zk\/U03oSqAZq8I\/AAAAAAAACXY\/GjomOHxc7zc\/s1600\/DesignA_10.jpg?resize=640%2C344&#038;ssl=1\" width=\"640\" height=\"344\" border=\"0\" data-recalc-dims=\"1\" \/><\/a><\/div>\n<div><span style=\"text-align: start\"><br \/>\n<\/span>Same applies to Design B as well--majority of results clustered around Area (66% - 84%) and Speed (1000 - 10000), and no Area results above 70% when Speed was close to 0.<\/p>\n<div style=\"text-align: center\"><b><b><u>Design B<\/u><\/b><\/b><\/div>\n<p><b><\/b><\/div>\n<div style=\"clear: both;text-align: center\"><a style=\"margin-left: 1em;margin-right: 1em\" href=\"https:\/\/i2.wp.com\/2.bp.blogspot.com\/-4-gbtGm1A5U\/U03nehXBYHI\/AAAAAAAACXA\/Qa0QZdU3iS4\/s1600\/DesignA_10.jpg?ssl=1\"><img loading=\"lazy\" src=\"https:\/\/i2.wp.com\/2.bp.blogspot.com\/-4-gbtGm1A5U\/U03nehXBYHI\/AAAAAAAACXA\/Qa0QZdU3iS4\/s1600\/DesignA_10.jpg?resize=640%2C318&#038;ssl=1\" width=\"640\" height=\"318\" border=\"0\" data-recalc-dims=\"1\" \/><\/a><\/div>\n<p>In the circled portions, there should be a lot more results if the premise that using more area can achieved faster speed. Moreover, we observed that for bad timing scores, area tended to be worse. (Or perhaps it is the other way round--the larger the area, the worse timing score becomes)<\/p>\n<p>Do you agree? Let us know your thoughts and experiences.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>During InTime development, we got curious about the commonly-held premise that Area and Speed (and correspondingly, timing score) have an inverse relationship. Meaning that if you want more speed, you&#8217;d need to sacrifice area and vice versa. So we did tests on many designs to verify this relationship. Basically to obtain the results, we built [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false,"_links_to":"","_links_to_target":""},"categories":[206],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Area versus Speed observations - InTime - Plunify Blog &amp; Support<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/support.plunify.com\/en\/2014\/04\/16\/area-versus-speed-observations-intime\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Area versus Speed observations - InTime - Plunify Blog &amp; Support\" \/>\n<meta property=\"og:description\" content=\"During InTime development, we got curious about the commonly-held premise that Area and Speed (and correspondingly, timing score) have an inverse relationship. 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Basically to obtain the results, we built [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/support.plunify.com\/en\/2014\/04\/16\/area-versus-speed-observations-intime\/\" \/>\n<meta property=\"og:site_name\" content=\"Plunify Blog &amp; Support\" \/>\n<meta property=\"article:published_time\" content=\"2014-04-16T05:03:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-11-01T02:10:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/2.bp.blogspot.com\/--vwpMToaza0\/U04R_TYFcZI\/AAAAAAAACX8\/6qXlFJIhpK8\/s1600\/inverse.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kirvy Teo\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https:\/\/support.plunify.com\/en\/#organization\",\"name\":\"Plunify-Support\",\"url\":\"https:\/\/support.plunify.com\/en\/\",\"sameAs\":[],\"logo\":{\"@type\":\"ImageObject\",\"@id\":\"https:\/\/support.plunify.com\/en\/#logo\",\"inLanguage\":\"en-US\",\"url\":\"https:\/\/i1.wp.com\/support.plunify.com\/en\/wp-content\/uploads\/sites\/5\/2016\/05\/Plunify_Logo_Outline_TranspBG_sm.png?fit=600%2C159&ssl=1\",\"contentUrl\":\"https:\/\/i1.wp.com\/support.plunify.com\/en\/wp-content\/uploads\/sites\/5\/2016\/05\/Plunify_Logo_Outline_TranspBG_sm.png?fit=600%2C159&ssl=1\",\"width\":600,\"height\":159,\"caption\":\"Plunify-Support\"},\"image\":{\"@id\":\"https:\/\/support.plunify.com\/en\/#logo\"}},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/support.plunify.com\/en\/#website\",\"url\":\"https:\/\/support.plunify.com\/en\/\",\"name\":\"Plunify Blog &amp; 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