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X-WR-CALDESC:Events for Graph Massivizer EU Project
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DTSTART;TZID=UTC:20240511T080000
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CREATED:20260226T071714Z
LAST-MODIFIED:20260226T072612Z
UID:1443-1715414400-1715414400@graph-massivizer.eu
SUMMARY:GraphSys'24
DESCRIPTION:Graphs and GraphSys \nThe use\, interoperability\, and analytical exploitation of graph data are essential for modern digital economies. Today\, thousands of computational methods (algorithms) and findable\, accessible\, interoperable\, and reusable (FAIR) graph datasets exist. However\, current computational capabilities lag when faced with the complex workflows involved in graph processing\, the extreme scale of existing graph datasets\, and the need to consider sustainability metrics in graph-processing operations. Needs are emerging for graph-processing platforms to provide multilingual information processing and reasoning based on the massive graph representation of extreme data in the form of general graphs\, knowledge graphs\, and property graphs. Because graph workloads and graph datasets are strongly irregular\, and involve one or several big data “Vs” (e.g.\, volume\, velocity\, variability\, vicissitude)\, the community needs to reconsider traditional approaches in performance analysis and modeling\, system architectures and techniques\, serverless and “as a service” operation\, real-world and simulation-driven experimentation\, etc.\, and provide new tools and instruments to address emerging challenges in graph processing.   \nGraphs or linked data are crucial to innovation\, competition\, and prosperity and establish a strategic investment in technical processing and ecosystem enablers. Graphs are universal abstractions that capture\, combine\, model\, analyse\, and process knowledge about real and digital worlds into actionable insights through item representation and interconnectedness. For societally relevant problems\, graphs are extreme data that require further technological innovations to meet the needs of the European data economy. Digital graphs help pursue the United Nations Sustainable Development Goals (UN SDG) by enabling better value chains\, products\, and services for more profitable or green investments in the financial sector and deriving trustworthy insight for creating sustainable communities. All science\, engineering\, industry\, economy\, and society-at-large domains can leverage graph data for unique analysis and insight\, but only if graph processing becomes easy-to-use\, fast\, scalable\, and sustainable. \nTo facilitate the exchange of ideas and expertise in the broad field of high-performance large-scale graph processing\, we organize GraphSys\, the second workshop of Serverless\, Extreme-Scale\, and Sustainable Graph Processing Systems. GraphSys is a cross-disciplinary meeting venue focusing on the state-of-the-art and the emerging (future) graph processing systems. We invite experts and trainees in the field\, across academia\, industry\, governance\, and society\, to share experience and expertise leading to a shared body of knowledge\, to formulate together a vision for the field\, and to engage with the topics to foster new approaches\, techniques\, and solutions.  \nGraphSys-2024 will be a full-day workshop with a single session (no parallel sessions). We welcome the wide community of graph processing systems\, and plan to feature invited talks and presentations of papers from within and beyond the GraphMassivizer project. We also plan a panel to introduce and discuss the goals of the GraphMassivizer project and how it can contribute to the strengthening of graph processing research and community.  
URL:https://graph-massivizer.eu/events/graphsys24/
LOCATION:ICPE’24\, London\, United Kingdom
CATEGORIES:AI,DataScience,Extreme-Scale,Graphs,KnowledgeGraphs,Serverless,Sustainable Graph,Sustainable Graph Processing Systems
ATTACH;FMTTYPE=image/jpeg:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2026/02/GraphSys24.jpeg
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DTSTART;TZID=UTC:20230613T090000
DTEND;TZID=UTC:20230615T180000
DTSTAMP:20260408T133712
CREATED:20230608T150907Z
LAST-MODIFIED:20230608T152833Z
UID:711-1686646800-1686852000@graph-massivizer.eu
SUMMARY:DATA WEEK 23
DESCRIPTION:Data Week 2023 is the spring gathering of the European Big Data and Data Driven AI research and innovation communities. In Data Week\, the participants share knowledge and results\, discuss topics of common interest\, find synergies\, build new collaborations and identify new challenges and recommendations. Data Week also links the communities and their results to the European policies and market needs and brings European initiatives and activities closer to local communities. \nData Week 2023 is co-organised by Big Data Value Association and the EUHubs4Data project in collaboration with the Research Institutes of Sweden (RISE). The main event of the Data Week 2023 will take place in Luleå\, Sweden between 13 – 15 June 2023 with the central theme “Data Meets Infrastructure at the Edge!” \n			\n				Visit our web\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					Join us on June 13 -15\, 2023\, in Luleå\, Sweden\n					\n						 \n						Day(s) \n					\n						: \n					\n						 \n						Hour(s) \n					\n						: \n					\n						 \n						Minute(s) \n					\n						: \n					\n						 \n						Second(s)
URL:https://graph-massivizer.eu/events/data-week-23/
LOCATION:Quality Hotel Luleå\, Storgatan 17\, Luleå\, 971 28\, Sweden
CATEGORIES:AI,DataScience,Extreme-Scale,Graphs,KnowledgeGraphs,Serverless,Sustainable Graph,Sustainable Graph Processing Systems
ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2023/06/event1-copia-6.png
ORGANIZER;CN="Big Data Value Association":MAILTO:info@core.bdva.eu
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230413T080000
DTEND;TZID=UTC:20230413T170000
DTSTAMP:20260408T133712
CREATED:20230413T070902Z
LAST-MODIFIED:20260226T071008Z
UID:645-1681372800-1681405200@graph-massivizer.eu
SUMMARY:GraphSys'23
DESCRIPTION:GraphSys’23\n			\n				\n				\n				\n				\n				The First Workshop on Serverless\, Extreme-Scale\, and Sustainable Graph Processing Systems Co-located with ICPE 2023.\n			\n				Visit our web\n			\n				\n				\n				\n				\n				Graphs and GraphSys \nThe use\, interoperability\, and analytical exploitation of graph data are essential for modern digital economies. Today\, thousands of computational methods (algorithms) and findable\, accessible\, interoperable\, and reusable (FAIR) graph datasets exist. However\, current computational capabilities lag when faced with the complex workflows involved in graph processing\, the extreme scale of existing graph datasets\, and the need to consider sustainability metrics in graph-processing operations. Needs are emerging for graph-processing platforms to provide multilingual information processing and reasoning based on the massive graph representation of extreme data in the form of general graphs\, knowledge graphs\, and property graphs. Because graph workloads and graph datasets are strongly irregular\, and involve one or several big data “Vs” (e.g.\, volume\, velocity\, variability\, vicissitude)\, the community needs to reconsider traditional approaches in performance analysis and modeling\, system architectures and techniques\, serverless and “as a service” operation\, real-world and simulation-driven experimentation\, etc.\, and provide new tools and instruments to address emerging challenges in graph processing.   \nGraphs or linked data are crucial to innovation\, competition\, and prosperity and establish a strategic investment in technical processing and ecosystem enablers. Graphs are universal abstractions that capture\, combine\, model\, analyse\, and process knowledge about real and digital worlds into actionable insights through item representation and interconnectedness. For societally relevant problems\, graphs are extreme data that require further technological innovations to meet the needs of the European data economy. Digital graphs help pursue the United Nations Sustainable Development Goals (UN SDG) by enabling better value chains\, products\, and services for more profitable or green investments in the financial sector and deriving trustworthy insight for creating sustainable communities. All science\, engineering\, industry\, economy\, and society-at-large domains can leverage graph data for unique analysis and insight\, but only if graph processing becomes easy-to-use\, fast\, scalable\, and sustainable. \nTo facilitate the exchange of ideas and expertise in the broad field of high-performance large-scale graph processing\, we organize GraphSys\, the first workshop of Serverless\, Extreme-Scale\, and Sustainable Graph Processing Systems. GraphSys is a cross-disciplinary meeting venue focusing on the state-of-the-art and the emerging (future) graph processing systems. We invite experts and trainees in the field\, across academia\, industry\, governance\, and society\, to share experience and expertise leading to a shared body of knowledge\, to formulate together a vision for the field\, and to engage with the topics to foster new approaches\, techniques\, and solutions.  \nWorkshop format\nGraphSys-2023 will be a full-day workshop with a single session (no parallel sessions). We welcome the wide community of graph processing systems\, and plan to feature invited talks and presentations of papers from within and beyond the GraphMassivizer project. We also plan a panel to introduce and discuss the goals of the GraphMassivizer project and how it can contribute to the strengthening of graph processing research and community.   \nFor more details on submissions and topics of interest\, please check the call for papers. \nCredits & acknowledgements\nThe GraphSys workshop is technically sponsored by the Graph-Massivizer project (Grant number 101093202\, https://graph-massivizer.eu) funded by the Horizon Europe research and innovation program of the European Union for the period 2023-2026\, which studies and aims to develop a high-performance\, scalable\, gender-neutral\, secure\, and sustainable platform for massive graph processing\, and by and the Horizon 2020 DataCloud project (Grant number 101016835\, https://datacloudproject.eu/)  \nIn time\, we aim to align GraphSys with the Standard Performance Evaluation Corporation (SPEC)’s Research Group (RG)\, and\, in particular\, the RG Cloud Group that is taking a broad approach\, relevant for both academia and industry\, to cloud benchmarking\, quantitative evaluation\, and experimental analysis. \n			\n				\n				\n				\n				\n				\n					Join us on April 15\, 2023\, 9-17 in Coimbra!   \n					\n						 \n						Day(s) \n					\n						: \n					\n						 \n						Hour(s) \n					\n						: \n					\n						 \n						Minute(s) \n					\n						: \n					\n						 \n						Second(s)
URL:https://graph-massivizer.eu/events/graphsys23/
LOCATION:ICPE’23\, Coimbra\, Portugal
CATEGORIES:Extreme-Scale,Graphs,KnowledgeGraphs,Serverless,Sustainable Graph,Sustainable Graph Processing Systems
ATTACH;FMTTYPE=image/png:https://graph-massivizer.wp.itec.aau.at/wp-content/uploads/sites/27/2023/04/GraphSys23.png
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