{"id":3364,"date":"2018-06-22T02:40:21","date_gmt":"2018-06-22T02:40:21","guid":{"rendered":"https:\/\/support.plunify.com\/en\/?p=3364"},"modified":"2018-10-09T03:15:54","modified_gmt":"2018-10-09T03:15:54","slug":"machine-learning-supercharges-fpgas-for-real-time-video-processing","status":"publish","type":"post","link":"https:\/\/support.plunify.com\/en\/2018\/06\/22\/machine-learning-supercharges-fpgas-for-real-time-video-processing\/","title":{"rendered":"Machine Learning Supercharges FPGAs For Real-Time Video Processing"},"content":{"rendered":"<p><a href=\"https:\/\/www.atomos.com\/\" target=\"_blank\" rel=\"noopener\">Atomos<\/a> is a manufacturer of high-quality video related recording devices. With offices all across the globe, Atomos has a clear vision -- to revolutionize digital video production by combining smart workflows with simple operation to deliver cost-effective recording and conversion solutions for today\u2019s video and film professionals.<\/p>\n<h2>Challenges<\/h2>\n<p>Atomos had four product designs to deliver over the year-end holiday period, each with aggressive deadlines.<\/p>\n<p>After source code updates, all four designs had to be optimized simultaneously until performance and functionality requirements were met.<\/p>\n<p>Given the extremely limited time before shipping, both the designers and implementation flows had to work round the clock to close timing.<\/p>\n<h2>Overview<\/h2>\n<p>Real-Time processing of high resolution, bandwidth-intensive audio and video data poses daunting R&amp;D challenges, which can adversely impact the overall product development time and delay product Time-To-Market.<\/p>\n<p>Existing approaches involve debugging source code, re-examining and tweaking the design constraints \u2013 potentially wasting tremendous amounts of time in doing so as there is no defacto tool or (semi-) automated process to optimize designs; at least not until the <a href=\"https:\/\/www.plunify.com\/en\/intime\" target=\"_blank\" rel=\"noopener\">InTime tool <\/a>was developed.<\/p>\n<p>Atomos\u2019 server resources were also hard-pressed to explore compilation parameters for all four designs simultaneously.<\/p>\n<h2>Solution<\/h2>\n<p>Atomos deploys InTime software in their timing closure flow.<\/p>\n<ul>\n<li>Run all designs at the same time to train InTime on optimization possibilities.<\/li>\n<li>The engineers start the InTime tool and let it run by itself.<\/li>\n<li>The tool analyses design and uses different synthesis and\/or place-and-route options to close timing.<\/li>\n<li>Once the tool discovers a promising optimization, compute resources are automatically redirected to focus on it and close timing more quickly.<\/li>\n<\/ul>\n<p><img class=\"size-full aligncenter\" src=\"https:\/\/cdn.newsapi.com.au\/image\/v1\/22d3b2e70679a29948e44b5cb2d95d75\" width=\"500\" \/><\/p>\n<blockquote>\n<p style=\"text-align: left\">\u201cFaced with an aggressive time-to-market schedule, Plunify\u2019s InTime tool helped us meet deadlines on multiple product lines. Leveraging InTime technology is a timing closure flow we can rely on.\u201d<\/p>\n<p style=\"text-align: right\">- Jeromy Young, CEO, ATOMOS<\/p>\n<\/blockquote>\n<h2>Benefits<\/h2>\n<ul>\n<li>No changes to source code are required.<\/li>\n<li>Rely on automatic calibration synthesis and place-and-route parameters based on rigorous tests.<\/li>\n<li>Engineers keep their focus on fixing design bugs or further enhancing the product, rather than spending time to explore the FPGA tools in detail.<\/li>\n<li>InTime finds multiple solutions for design closure.<\/li>\n<\/ul>\n<h2>Why InTime?<\/h2>\n<p>Especially when schedules were tight, Atomos engineers did not have the luxury of learning and integrating a new tool into their existing FPGA design flow.<\/p>\n<p>InTime requires less than five steps to open a design and start an optimization cycle. Its Machine Learning algorithms adjust synthesis and place-and-route parameters to guide the design towards better performance.<\/p>\n<p>InTime has been proven to out-perform other similar exploration tools by 80% in terms of quality of results.<\/p>\n<p>And because InTime grows its optimization database with every successive project it runs, the company\u2019s Return on Investment increases over time in the long run.<\/p>\n<h2>Free Evaluation<\/h2>\n<p>Interested in InTime software?\u00a0<a href=\"https:\/\/www.plunify.com\/en\/intime\" target=\"_blank\" rel=\"noopener\">Read more<\/a> about it or directly <a href=\"https:\/\/www.plunify.com\/en\/free-evaluation\" target=\"_blank\" rel=\"noopener\">take a free evaluation<\/a>.<\/p>\n<h4>Subscribe to Plunify Blog<\/h4>\n<div class=\"jetpack_subscription_widget\"><h2 class=\"widgettitle\"><\/h2>\n            <form action=\"#\" method=\"post\" accept-charset=\"utf-8\" id=\"subscribe-blog-491\">\n\t\t\t\t                    <div id=\"subscribe-text\"><p>Enter your email address and have the latest insights on FPGA, cloud and Machine Learning delivered straight to your inbox.<\/p>\n<\/div>                    <p id=\"subscribe-email\">\n                        <label id=\"jetpack-subscribe-label\"\n                               class=\"screen-reader-text\"\n                               for=\"subscribe-field-491\">\n\t\t\t\t\t\t\tEmail Address                        <\/label>\n                        <input type=\"email\" name=\"email\" required=\"required\"\n                        \t\t\t                                                value=\"\"\n                            id=\"subscribe-field-491\"\n                            placeholder=\"Email Address\"\n                        \/>\n                    <\/p>\n\n\t\t\t\t\t<p id=\"subscribe-submit\"\n\t\t\t\t\t\t\t\t\t\t\t>\n                        <input type=\"hidden\" name=\"action\" value=\"subscribe\"\/>\n                        <input type=\"hidden\" name=\"source\" value=\"https:\/\/support.plunify.com\/en\/wp-json\/wp\/v2\/posts\/3364\"\/>\n                        <input type=\"hidden\" name=\"sub-type\" value=\"widget\"\/>\n                        <input type=\"hidden\" name=\"redirect_fragment\" value=\"491\"\/>\n\t\t\t\t\t\t                        <button type=\"submit\"\n\t                        \t\t                    \t\t\t                    style=\"margin-left: 0px;\"\n\t\t                    \t                        name=\"jetpack_subscriptions_widget\"\n\t                    >\n\t                                    Sign Me Up!                                  <\/button>\n                    <\/p>\n\t\t\t\t            <\/form>\n\t\t\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Atomos is a manufacturer of high-quality video related recording devices. With offices all across the globe, Atomos has a clear vision &#8212; to revolutionize digital video production by combining smart workflows with simple operation to deliver cost-effective recording and conversion solutions for today\u2019s video and film professionals. Challenges Atomos had four product designs to deliver [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":3425,"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>Machine Learning Supercharges FPGAs For Real-Time Video Processing<\/title>\n<meta name=\"description\" content=\"Atomos, a video processing systems maker, employed InTime software to deliver timing-optimized results for multiple designs in less than 7 days.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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