{"id":15602,"date":"2024-03-04T20:36:26","date_gmt":"2024-03-04T19:36:26","guid":{"rendered":"https:\/\/sano.science\/?post_type=seminars&#038;p=15602"},"modified":"2024-05-20T18:24:05","modified_gmt":"2024-05-20T16:24:05","slug":"performance-evaluation-prediction-and-optimization-of-emerging-computing-infrastructures-for-medical-applications","status":"publish","type":"seminars","link":"https:\/\/sano.science\/seminars\/performance-evaluation-prediction-and-optimization-of-emerging-computing-infrastructures-for-medical-applications\/","title":{"rendered":"133. Performance evaluation, prediction and\u00a0optimization of emerging computing infrastructures for\u00a0medical applications."},"content":{"rendered":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">At the same time different kind of computations may require other kind of resources, for example a genomics and transcriptomics computations consume significant amount of storage space and random-access memory.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Multitude of models and infrastructures makes it really challenging to perform computations in an efficient and economic way. It prompted the work presented in this talk to answer fundamental question \u2013 how to find best infrastructure and configuration for given computational model for most wide selection of problems.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Obviously, many monitoring systems already exist, yet some of them like Zabbix [4] are designed for the enterprise-class applications and in turn are not well suited for a hybrid HPC\/Cloud infrastructure. Other solutions like the Prometheus [5], may be adapted and integrated to build an appropriate platform.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">As there is no single ready-made solution for described problem a new one has been proposed based on combination of data collected from the applications itself (either by analysis of application logs or instrumentation) with the resource monitoring system based on the Prometheus platform.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">The solution has been validated on two distinct use-cases \u2013 one involving the compute-intensive CFD simulation of the blood flow and the other based on the data-intensive Genomics pipeline.&nbsp;<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">[1] Otta, M., Halliday, I., Tsui, J., Lim, C., Struzik, Z.R., Narracott, A. (2022). <strong>Sensitivity Analysis of a Model of Lower Limb Haemodynamics.<\/strong> Computational Science \u2013 ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham.<\/p>\n\n\n\n<p class=\" eplus-wrapper\">[2] M. Bubak, K. Czechowicz, T. Guba\u0142a, D. R. Hose, M. Kasztelnik, M. Malawski, J. Meizner, P. Nowakowski, and S. Wood. 2021. <strong>The eurvalve model execution<\/strong> <strong>environment.<\/strong> Interface Focus, 11, 1, 20200006<\/p>\n\n\n\n<p class=\" eplus-wrapper\">[3] Bobak, M., Belloum, A., Cushing, R., Meizner, J., Nowakowski, P., Tran, V., Habala, O., Maassen, J., Somosk\u00f6i, B., Graziani, M., Heikkurinen, M., H\u00f6b, M., Schmidt, J., Hluch\u00fd, L. 2019. <strong>Reference Exascale Architecture.<\/strong><\/p>\n\n\n\n<p class=\" eplus-wrapper\">[4] Zabbix, <a href=\"https:\/\/www.zabbix.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.zabbix.com\/<\/a>\u00a0<\/p>\n\n\n\n<p class=\" eplus-wrapper\">[5] Prometheus, <a href=\"http:\/\/prometheus.io\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/prometheus.io\/<\/a><\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About the author<\/strong><\/h2>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\">Jan Meizner graduated the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics in the field of Computer Science (Distributed Systems and Computer Networks). His master thesis &#8211; Security in Virtual Laboratory System \u2013 was created in the scope of the EU Project Virolab adressing early aspects of In-Silico Medicine. He continues his reaserch by participation in over 10 EU and National projects mostly in the field of computational medicine all of which strongly focused on HPC and Cloud systems.&nbsp;<\/p>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n\n\n\n<p class=\" eplus-wrapper\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-1024x576.jpg\" alt=\"Performance evaluation, prediction and optimization\" class=\"wp-image-16722\" srcset=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-1024x576.jpg 1024w, https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-300x169.jpg 300w, https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-768x432.jpg 768w, https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-1536x864.jpg 1536w, https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization.jpg 1920w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Jan Meizner \u2013 PhD Student, Extreme-Scale Data and Computing, Sano Centre for Computational Medicine, Krakow, PL<\/p>\n","protected":false},"featured_media":0,"template":"","class_list":["post-15602","seminars","type-seminars","status-publish","hentry"],"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>133. Performance evaluation, prediction and\u00a0optimization of emerging computing infrastructures for\u00a0medical applications. - 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\/seminars\/performance-evaluation-prediction-and-optimization-of-emerging-computing-infrastructures-for-medical-applications\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"133. 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Performance evaluation, prediction and\u00a0optimization of emerging computing infrastructures for\u00a0medical applications."}]},{"@type":"WebSite","@id":"https:\/\/sano.science\/#website","url":"https:\/\/sano.science\/","name":"Centre for Computational Personalized Medicine","description":"Sano \u2013 Centre for Computational Medicine","publisher":{"@id":"https:\/\/sano.science\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sano.science\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/sano.science\/#organization","name":"Sano \u2013 Centre for Computational Medicine","alternateName":"Sano","url":"https:\/\/sano.science\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/","url":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","contentUrl":"https:\/\/sano.science\/wp-content\/uploads\/2024\/05\/logo_sano_podstawowe.png","width":700,"height":265,"caption":"Sano \u2013 Centre for Computational Medicine"},"image":{"@id":"https:\/\/sano.science\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/sano.science\/","https:\/\/x.com\/sanoscience","https:\/\/www.linkedin.com\/company\/sanoscience\/","https:\/\/www.youtube.com\/channel\/UCDZ_8TcjMWUG2ZcgKKgfpwQ","https:\/\/bsky.app\/profile\/sanoscience.bsky.social"]}]}},"acf":[],"gutenberg_blocks":[{"blockName":"custom-styles","attrs":{"styles":""}},{"blockName":"core\/spacer","attrs":{"height":"40px","epAnimationGeneratedClass":"edplus_anim-iXGbfZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-tjFFiA","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\">Abstract<\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-iXGbfZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-bV9Ks9","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-iXGbfZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-bV9Ks9","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">To facilite better diagnosis and treatment of wide range of health-related issues various computational models were created. This includes Computational Fluid Dynamics (CFD) simulations for blood-flow related issues such as the post-thrombotic syndrome [1] or valvular heart conditions (like aortic valve stenosis and mitral valve regurgitation) [2]. At the same time numerical simulations based on the Finite Element Analysis (FEA) may be used for estimation of a risk of bone fractures. They usually require huge computational resources commonly provided only by the supercomputers located at HPC Centers possibly augmented with Cloud resources [3].<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-iXGbfZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Pq9nAD","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">At the same time different kind of computations may require other kind of resources, for example a genomics and transcriptomics computations consume significant amount of storage space and random-access memory.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">At the same time different kind of computations may require other kind of resources, for example a genomics and transcriptomics computations consume significant amount of storage space and random-access memory.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-o7uBXX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-3txoE6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Multitude of models and infrastructures makes it really challenging to perform computations in an efficient and economic way. It prompted the work presented in this talk to answer fundamental question \u2013 how to find best infrastructure and configuration for given computational model for most wide selection of problems.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Multitude of models and infrastructures makes it really challenging to perform computations in an efficient and economic way. It prompted the work presented in this talk to answer fundamental question \u2013 how to find best infrastructure and configuration for given computational model for most wide selection of problems.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-o7uBXX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-FtnFsp","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Obviously, many monitoring systems already exist, yet some of them like Zabbix [4] are designed for the enterprise-class applications and in turn are not well suited for a hybrid HPC\/Cloud infrastructure. Other solutions like the Prometheus [5], may be adapted and integrated to build an appropriate platform.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Obviously, many monitoring systems already exist, yet some of them like Zabbix [4] are designed for the enterprise-class applications and in turn are not well suited for a hybrid HPC\/Cloud infrastructure. Other solutions like the Prometheus [5], may be adapted and integrated to build an appropriate platform.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-o7uBXX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-hxi7iy","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">As there is no single ready-made solution for described problem a new one has been proposed based on combination of data collected from the applications itself (either by analysis of application logs or instrumentation) with the resource monitoring system based on the Prometheus platform.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">As there is no single ready-made solution for described problem a new one has been proposed based on combination of data collected from the applications itself (either by analysis of application logs or instrumentation) with the resource monitoring system based on the Prometheus platform.<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-o7uBXX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-4UubiA","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">The solution has been validated on two distinct use-cases \u2013 one involving the compute-intensive CFD simulation of the blood flow and the other based on the data-intensive Genomics pipeline.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">The solution has been validated on two distinct use-cases \u2013 one involving the compute-intensive CFD simulation of the blood flow and the other based on the data-intensive Genomics pipeline.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"20px","epAnimationGeneratedClass":"edplus_anim-o7uBXX","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-s2oPDF","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[1] Otta, M., Halliday, I., Tsui, J., Lim, C., Struzik, Z.R., Narracott, A. (2022). <strong>Sensitivity Analysis of a Model of Lower Limb Haemodynamics.<\/strong> Computational Science \u2013 ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham.<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[1] Otta, M., Halliday, I., Tsui, J., Lim, C., Struzik, Z.R., Narracott, A. (2022). <strong>Sensitivity Analysis of a Model of Lower Limb Haemodynamics.<\/strong> Computational Science \u2013 ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham.<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-GhaA1I","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[2] M. Bubak, K. Czechowicz, T. Guba\u0142a, D. R. Hose, M. Kasztelnik, M. Malawski, J. Meizner, P. Nowakowski, and S. Wood. 2021. <strong>The eurvalve model execution<\/strong> <strong>environment.<\/strong> Interface Focus, 11, 1, 20200006<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[2] M. Bubak, K. Czechowicz, T. Guba\u0142a, D. R. Hose, M. Kasztelnik, M. Malawski, J. Meizner, P. Nowakowski, and S. Wood. 2021. <strong>The eurvalve model execution<\/strong> <strong>environment.<\/strong> Interface Focus, 11, 1, 20200006<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-Dw4MgY","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[3] Bobak, M., Belloum, A., Cushing, R., Meizner, J., Nowakowski, P., Tran, V., Habala, O., Maassen, J., Somosk\u00f6i, B., Graziani, M., Heikkurinen, M., H\u00f6b, M., Schmidt, J., Hluch\u00fd, L. 2019. <strong>Reference Exascale Architecture.<\/strong><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[3] Bobak, M., Belloum, A., Cushing, R., Meizner, J., Nowakowski, P., Tran, V., Habala, O., Maassen, J., Somosk\u00f6i, B., Graziani, M., Heikkurinen, M., H\u00f6b, M., Schmidt, J., Hluch\u00fd, L. 2019. <strong>Reference Exascale Architecture.<\/strong><\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-oZneEn","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[4] Zabbix, <a href=\"https:\/\/www.zabbix.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.zabbix.com\/<\/a>\u00a0<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[4] Zabbix, <a href=\"https:\/\/www.zabbix.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.zabbix.com\/<\/a>\u00a0<\/p>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-DMqfu6","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">[5] Prometheus, <a href=\"http:\/\/prometheus.io\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/prometheus.io\/<\/a><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">[5] Prometheus, <a href=\"http:\/\/prometheus.io\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/prometheus.io\/<\/a><\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"50px","epAnimationGeneratedClass":"edplus_anim-vzBBgW","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 eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/heading","attrs":{"epAnimationGeneratedClass":"edplus_anim-b1Omck","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About the author<\/strong><\/h2>\n","innerContent":["\n<h2 class=\"wp-block-heading eplus-wrapper\"><strong>About the author<\/strong><\/h2>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-NfXbVx","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-QZXIGZ","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\">Jan Meizner graduated the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics in the field of Computer Science (Distributed Systems and Computer Networks). His master thesis - Security in Virtual Laboratory System \u2013 was created in the scope of the EU Project Virolab adressing early aspects of In-Silico Medicine. He continues his reaserch by participation in over 10 EU and National projects mostly in the field of computational medicine all of which strongly focused on HPC and Cloud systems.&nbsp;<\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\">Jan Meizner graduated the Faculty of Electrical Engineering, Automatics, Computer Science and Electronics in the field of Computer Science (Distributed Systems and Computer Networks). His master thesis - Security in Virtual Laboratory System \u2013 was created in the scope of the EU Project Virolab adressing early aspects of In-Silico Medicine. He continues his reaserch by participation in over 10 EU and National projects mostly in the field of computational medicine all of which strongly focused on HPC and Cloud systems.&nbsp;<\/p>\n"]},{"blockName":"core\/spacer","attrs":{"height":"30px","epAnimationGeneratedClass":"edplus_anim-NfXbVx","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n","innerContent":["\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer eplus-wrapper\"><\/div>\n"]},{"blockName":"core\/paragraph","attrs":{"epAnimationGeneratedClass":"edplus_anim-cRsyTt","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<p class=\" eplus-wrapper\"><\/p>\n","innerContent":["\n<p class=\" eplus-wrapper\"><\/p>\n"]},{"blockName":"core\/image","attrs":{"id":16722,"sizeSlug":"large","linkDestination":"none","epAnimationGeneratedClass":"edplus_anim-FefDcC","epGeneratedClass":"eplus-wrapper"},"innerBlocks":[],"innerHTML":"\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-1024x576.jpg\" alt=\"Performance evaluation, prediction and optimization\" class=\"wp-image-16722\"\/><\/figure>\n","innerContent":["\n<figure class=\"wp-block-image size-large eplus-wrapper\"><img src=\"https:\/\/sano.science\/wp-content\/uploads\/2024\/03\/Jan-Meizner_Performance-evaluation-prediction-and-optimization-1024x576.jpg\" alt=\"Performance evaluation, prediction and optimization\" class=\"wp-image-16722\"\/><\/figure>\n"]}],"meta_data":{"event_day":"2024-05-13","event_time":"2:00-3:30 PM (CEST)","event_guest":"Jan Meizner \u2013 PhD Student, Extreme-Scale Data and Computing, Sano Centre for Computational Medicine, Krakow, PL","has_medias":true,"medias":[{"icon":{"ID":1144,"id":1144,"title":"clock","filename":"clock.svg","filesize":1479,"url":"https:\/\/sano.science\/wp-content\/uploads\/2023\/06\/clock.svg","link":"https:\/\/sano.science\/seminars\/79-digital-behaviour-change-interventions-dbci-from-design-to-implementation\/clock\/","alt":"clock Sano Seminar","author":"7","description":"","caption":"Sano Seminar clock","name":"clock","status":"inherit","uploaded_to":13471,"date":"2023-06-01 13:24:42","modified":"2024-10-09 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on","link":{"title":"seminar.sano.science","url":"https:\/\/us06web.zoom.us\/j\/81263292238#success","target":"_blank"}}]},"_links":{"self":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15602","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars"}],"about":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/types\/seminars"}],"version-history":[{"count":21,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15602\/revisions"}],"predecessor-version":[{"id":16806,"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/seminars\/15602\/revisions\/16806"}],"wp:attachment":[{"href":"https:\/\/sano.science\/index.php\/wp-json\/wp\/v2\/media?parent=15602"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}