{"id":213,"date":"2022-09-14T08:22:11","date_gmt":"2022-09-14T08:22:11","guid":{"rendered":"https:\/\/c3.itec.aau.at\/?p=213"},"modified":"2022-09-14T08:22:14","modified_gmt":"2022-09-14T08:22:14","slug":"coordination-horizon-europe-massive-graph-processing-of-extreme-data-for-a-sustainable-economy-society-and-environment-graph-massivizer-project-accepted","status":"publish","type":"post","link":"https:\/\/c3.itec.aau.at\/index.php\/coordination-horizon-europe-massive-graph-processing-of-extreme-data-for-a-sustainable-economy-society-and-environment-graph-massivizer-project-accepted\/","title":{"rendered":"Coordination @ Horizon Europe \u201cMassive Graph Processing of Extreme Data for a Sustainable Economy, Society, and Environment\u201d (Graph-Massivizer) project accepted"},"content":{"rendered":"\n<p><strong>Project lead\/coordination: Radu Prodan<br>Project partners:&nbsp;<a href=\"https:\/\/www.idc.com\/it\" target=\"_blank\" rel=\"noreferrer noopener\">IDC Italia<\/a>,&nbsp;<a href=\"https:\/\/peracton.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Peracton Limited<\/a>,&nbsp;<a href=\"https:\/\/www.ijs.si\/ijsw\/JSI\" target=\"_blank\" rel=\"noreferrer noopener\">Institut Jozef Stefan<\/a>,&nbsp;<a href=\"https:\/\/www.sintef.no\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">Sintef<\/a>,&nbsp;<a href=\"https:\/\/www.utwente.nl\/\" target=\"_blank\" rel=\"noreferrer noopener\">Universiteit Twente<\/a>,&nbsp;<a href=\"https:\/\/metaphacts.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">metaphacts GmbH<\/a>,&nbsp;<a href=\"https:\/\/vu.nl\/nl\/onderwijs\/campagne\/mba-q-a?gclid=Cj0KCQjw2_OWBhDqARIsAAUNTTGKbvhtPVg1ScQm8R3HjlXLYti2VQq0KeocSK8wXcEG33dDdXVYrUkaAg_zEALw_wcB\" target=\"_blank\" rel=\"noreferrer noopener\">Vrije Universiteit Amsterdam<\/a>,&nbsp;<a href=\"https:\/\/www.cineca.it\/\" target=\"_blank\" rel=\"noreferrer noopener\">Cineca<\/a>,&nbsp;<a href=\"https:\/\/www.tp-lj.si\/sl\/clani\/event-registry-spremljanje-globalnih-medijev-d-o-o-3821\" target=\"_blank\" rel=\"noreferrer noopener\">Event Registry<\/a>,&nbsp;<a href=\"https:\/\/www.unibo.it\/it\" target=\"_blank\" rel=\"noreferrer noopener\">Universit\u00e0 di Bologna<\/a>,&nbsp;<a href=\"https:\/\/www.bosch.de\/unser-unternehmen\/bosch-in-deutschland\/stuttgart-feuerbach\/\" target=\"_blank\" rel=\"noreferrer noopener\">Robert Bosch GmbH<\/a><\/strong><\/p>\n\n\n\n<p>Abstract: Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. It delivers a toolkit of five open-source software tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as massive graphs. The tools focus on holistic usability (from extreme data ingestion and massive graph creation), automated intelligence (through analytics and reasoning), performance modelling, and environmental sustainability tradeoffs, supported by credible data-driven evidence across the computing continuum. The automated operation based on the emerging serverless computing paradigm supports experienced and novice stakeholders from a broad group of large and small organisations to capitalise on extreme data through massive graph programming and processing. Graph Massivizer validates its innovation on four complementary use cases considering their extreme data properties and coverage of the three sustainability pillars (economy, society, and environment): sustainable green finance, global environment protection foresight, green AI for the sustainable automotive industry, and data centre digital twin for exascale computing. Graph Massivizer promises 70% more efficient analytics than AliGraph, and 30% improved energy awareness for ETL storage operations than Amazon Redshift. Furthermore, it aims to demonstrate a possible two-fold improvement in data centre energy efficiency and over 25% lower GHG emissions for basic graph operations. Graph-Massivizer gathers an interdisciplinary group of twelve partners from eight countries, covering four academic universities, two applied research centres, one HPC centre, two SMEs and two large enterprises. It leverages world-leading roles of European researchers in graph processing and serverless computing and uses leadership-class European infrastructure in the computing continuum.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/itec.aau.at\/wp-content\/uploads\/sites\/2\/2022\/07\/Logo_GM-300x188.png\" alt=\"\" class=\"wp-image-6281\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Project lead\/coordination: Radu ProdanProject partners:&nbsp;IDC Italia,&nbsp;Peracton Limited,&nbsp;Institut Jozef Stefan,&nbsp;Sintef,&nbsp;Universiteit Twente,&nbsp;metaphacts GmbH,&nbsp;Vrije Universiteit Amsterdam,&nbsp;Cineca,&nbsp;Event Registry,&nbsp;Universit\u00e0 di Bologna,&nbsp;Robert Bosch GmbH Abstract: Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. It delivers a toolkit of five open-source software tools and FAIR graph [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-213","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Coordination @ Horizon Europe \u201cMassive Graph Processing of Extreme Data for a Sustainable Economy, Society, and Environment\u201d (Graph-Massivizer) project accepted - C3<\/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:\/\/c3.itec.aau.at\/index.php\/coordination-horizon-europe-massive-graph-processing-of-extreme-data-for-a-sustainable-economy-society-and-environment-graph-massivizer-project-accepted\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Coordination @ Horizon Europe \u201cMassive Graph Processing of Extreme Data for a Sustainable Economy, Society, and Environment\u201d (Graph-Massivizer) project accepted - C3\" \/>\n<meta property=\"og:description\" content=\"Project lead\/coordination: Radu ProdanProject partners:&nbsp;IDC Italia,&nbsp;Peracton Limited,&nbsp;Institut Jozef Stefan,&nbsp;Sintef,&nbsp;Universiteit Twente,&nbsp;metaphacts GmbH,&nbsp;Vrije Universiteit Amsterdam,&nbsp;Cineca,&nbsp;Event Registry,&nbsp;Universit\u00e0 di Bologna,&nbsp;Robert Bosch GmbH Abstract: Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. 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