{"id":11557,"date":"2023-05-20T10:36:43","date_gmt":"2023-05-20T08:36:43","guid":{"rendered":"https:\/\/sano.science\/?p=11557"},"modified":"2023-08-03T14:04:38","modified_gmt":"2023-08-03T12:04:38","slug":"serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models","status":"publish","type":"post","link":"https:\/\/sano.science\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\/","title":{"rendered":"Serverless approach as a way to speed up the sensitivity analysis of computational models\u00a0\u00a0\u00a0"},"content":{"rendered":"\n<p class=\" eplus-wrapper\">The Sano paper selected for the CCGrid 2023 is devoted to a serverless approach to sensitivity analysis of computational models. Piotr Kica, Sano scientific programmer, one of the authors of the research, gave a presentation on this topic on the Symposium.\u00a0<br><br>Sensitivity analysis of computational models is an important stage in the process of performing verification and validation of medical models and simulations. Although modelling and simulation are becoming increasingly important in computational medicine, in order to bring these solutions to the market, a complex regulatory procedure needs to be followed through agencies such as the FDA in the US, or the EMA in Europe. One important stage in this process is to perform verification and validation of the models, along with the corresp onding sensitivity analysis and uncertainty quantification (VVUQ). From the computing perspective, VVUQ is a computationally intensive process, as it requires numerous runs of the model with variations of input parameters.\u00a0\u00a0<br><br>The authors of the research proposed a hypothesis that serverless computing model can be a practical and efficient approach to selected cases of running VVUQ calculations. The experiments provided in the research proved that by using serverless services it is possible to acquire thousands of parallel sample computations and, as a result, speed up the calculation phase hundreds of times.\u00a0<br><br>The full list of the authors: Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zaj\u0105c, Piotr Nowakowski, Andrew Narracott, Ian Halliday, Maciej Malawski.\u00a0<br><br>The link to the paper: <a href=\"https:\/\/arxiv.org\/abs\/2304.08190\">https:\/\/arxiv.org\/abs\/2304.08190<\/a>\u00a0<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<div class=\"wp-block-group eplus-wrapper\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n    <div class=\"grid-of-images grid grid-cols-1 md:grid-cols-2 gap-24px lg:gap-32px auto-rows-auto\">\n\n        \n            \n    \n    <a\n            data-fslightbox=\"gallery\"\n            class=\"lightbox-image rounded-20px overflow-hidden\"\n            href=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.jpg\"\n            title=\"Press to open photo preview\"\n            aria-label=\"Press to open photo preview\"\n    >\n\n        \n    \n        \n\t\n\t\n\t\t\n\t\t<figure class=\"overflow-hidden h-full\" aria-label=\"\" title=\"\">\n\n\t\t\t<img decoding=\"async\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.webp\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.jpg 1536w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-300x169.jpg 300w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-1024x576.jpg 1024w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-768x432.jpg 768w\" alt=\"\" class=\"h-full w-full object-cover\" loading=\"lazy\"\/>\n\n\t\t<\/figure>\n\n\t\n\n    \n\n    <\/a>\n\n\n        \n            \n    \n    <a\n            data-fslightbox=\"gallery\"\n            class=\"lightbox-image rounded-20px overflow-hidden\"\n            href=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.jpg\"\n            title=\"Press to open photo preview\"\n            aria-label=\"Press to open photo preview\"\n    >\n\n        \n    \n        \n\t\n\t\n\t\t\n\t\t<figure class=\"overflow-hidden h-full\" aria-label=\"\" title=\"\">\n\n\t\t\t<img decoding=\"async\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.webp\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1.jpg 1536w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-300x169.jpg 300w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-1024x576.jpg 1024w, https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/20230503_163700-1536x864-1-768x432.jpg 768w\" alt=\"\" class=\"h-full w-full object-cover\" loading=\"lazy\"\/>\n\n\t\t<\/figure>\n\n\t\n\n    \n\n    <\/a>\n\n\n        \n    <\/div>\n\n<\/div><\/div>\n","protected":false},"excerpt":"A research made by Sano scientists was among 58 (out of 280) papers accepted for the 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023). We are very proud of this success as CCGrid is a leading forum on the distributed systems topics. The Symposium took place in India, Bangalore, 1-4 May.\u00a0\u00a0","author":7,"featured_media":12399,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"editor_plus_post_options":"{}","editor_plus_copied_stylings":"{}","footnotes":""},"categories":[1],"tags":[],"class_list":["post-11557","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Serverless approach as a way to speed up the sensitivity analysis of computational models\u00a0\u00a0\u00a0 - Centre for Computational Personalized Medicine<\/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:\/\/sano.science\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Serverless approach as a way to speed up the sensitivity analysis of computational models\u00a0\u00a0\u00a0\" \/>\n<meta property=\"og:description\" content=\"A research made by Sano scientists was among 58 (out of 280) papers accepted for the 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023). We are very proud of this success as CCGrid is a leading forum on the distributed systems topics. The Symposium took place in India, Bangalore, 1-4 May.\u00a0\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sano.science\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\/\" \/>\n<meta property=\"og:site_name\" content=\"Centre for Computational Personalized Medicine\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/sano.science\/\" \/>\n<meta property=\"article:published_time\" content=\"2023-05-20T08:36:43+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-03T12:04:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sano.science\/wp-content\/uploads\/2023\/05\/Serverless-approach.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1440\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"ict\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:site\" content=\"@sanoscience\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"ict\" \/>\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\":\"Article\",\"@id\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/\"},\"author\":{\"name\":\"ict\",\"@id\":\"https:\\\/\\\/sano.science\\\/#\\\/schema\\\/person\\\/679dab979bad335501f6f78ea17cffc0\"},\"headline\":\"Serverless approach as a way to speed up the sensitivity analysis of computational models\u00a0\u00a0\u00a0\",\"datePublished\":\"2023-05-20T08:36:43+00:00\",\"dateModified\":\"2023-08-03T12:04:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/\"},\"wordCount\":259,\"publisher\":{\"@id\":\"https:\\\/\\\/sano.science\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/sano.science\\\/wp-content\\\/uploads\\\/2023\\\/05\\\/Serverless-approach.jpg\",\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/\",\"url\":\"https:\\\/\\\/sano.science\\\/serverless-approach-as-a-way-to-speed-up-the-sensitivity-analysis-of-computational-models\\\/\",\"name\":\"Serverless approach as a way to speed up the sensitivity analysis of computational models\u00a0\u00a0\u00a0 - 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Piotr Kica, Sano scientific programmer, one of the authors of the research, gave a presentation on this topic on the Symposium.\u00a0<br><br>Sensitivity analysis of computational models is an important stage in the process of performing verification and validation of medical models and simulations. Although modelling and simulation are becoming increasingly important in computational medicine, in order to bring these solutions to the market, a complex regulatory procedure needs to be followed through agencies such as the FDA in the US, or the EMA in Europe. One important stage in this process is to perform verification and validation of the models, along with the corresp onding sensitivity analysis and uncertainty quantification (VVUQ). From the computing perspective, VVUQ is a computationally intensive process, as it requires numerous runs of the model with variations of input parameters.\u00a0\u00a0<br><br>The authors of the research proposed a hypothesis that serverless computing model can be a practical and efficient approach to selected cases of running VVUQ calculations. The experiments provided in the research proved that by using serverless services it is possible to acquire thousands of parallel sample computations and, as a result, speed up the calculation phase hundreds of times.\u00a0<br><br>The full list of the authors: Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zaj\u0105c, Piotr Nowakowski, Andrew Narracott, Ian Halliday, Maciej Malawski.\u00a0<br><br>The link to the paper: <a href=\"https:\/\/arxiv.org\/abs\/2304.08190\">https:\/\/arxiv.org\/abs\/2304.08190<\/a>\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The Sano paper selected for the CCGrid 2023 is devoted to a serverless approach to sensitivity analysis of computational models. Piotr Kica, Sano scientific programmer, one of the authors of the research, gave a presentation on this topic on the Symposium.\u00a0<br><br>Sensitivity analysis of computational models is an important stage in the process of performing verification and validation of medical models and simulations. Although modelling and simulation are becoming increasingly important in computational medicine, in order to bring these solutions to the market, a complex regulatory procedure needs to be followed through agencies such as the FDA in the US, or the EMA in Europe. One important stage in this process is to perform verification and validation of the models, along with the corresp onding sensitivity analysis and uncertainty quantification (VVUQ). From the computing perspective, VVUQ is a computationally intensive process, as it requires numerous runs of the model with variations of input parameters.\u00a0\u00a0<br><br>The authors of the research proposed a hypothesis that serverless computing model can be a practical and efficient approach to selected cases of running VVUQ calculations. The experiments provided in the research proved that by using serverless services it is possible to acquire thousands of parallel sample computations and, as a result, speed up the calculation phase hundreds of times.\u00a0<br><br>The full list of the authors: Piotr Kica, Magdalena Otta, Krzysztof Czechowicz, Karol Zaj\u0105c, Piotr Nowakowski, Andrew Narracott, Ian Halliday, Maciej Malawski.\u00a0<br><br>The link to the paper: <a href=\"https:\/\/arxiv.org\/abs\/2304.08190\">https:\/\/arxiv.org\/abs\/2304.08190<\/a>\u00a0<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-5WsUss","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer 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