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HPC and Big Data Technologies for Global Systems

Risultati finali

Annual Report on Community Building, Event Management, and Collaboration

D7.2 will present the first findings for community building, event management, collaboration and training.

Annual Report on Community Building, Event Management, Collaboration and Training

This deliverable reports about the progress towards community building, event management, collaboration and training throughout year two of the project’s lifetime.

Training Concept

This deliverable analyses the current stateoftheart for the training activity and defines the necessary roadmap for the generation of the training courses and their corresponding compendium

HiDALGO Support Concept

This deliverable defines the HiDALGO support approach, which will be implemented throughout the project.

HiDALGO System Environment

This deliverable will define the HiDALGO operation environment, available hardware and software on the provider’s site to support a quick uptake by WP3, WP4 and WP6.

Final Report on HiDALGO Internal Community Integration

This document represents a white paper discussing the findings with respect to bringing communities together This presented information shall be written in a generic way so that it can be applied to other communities as well

Initial Status of the Pilot Applications

This report provides the initial status assessment of the Pilot, but also the envisaged coupling applications. Consequently, this deliverable settles the scene for all the developments within this WP.

Initial Specifications for HPC Scalability Optimisation, HPDA Model Implementation, Data Management, Visualisation and Coupling Technologies

This document provides the initial strategies for optimising applications and implementing novel algorithms and methods In particular strategies for coupling applications in conjunction with WP4 will be provided

Report on Benchmarking and Optimisation

This report informs about the initial findings of the benchmarking activity in order to set the baseline for all the tasks building on that information

Innovative HPC Trends and the HiDALGO Benchmarks

The report will provide information on promising new technologies which will appear on the market Influence the functionality of HiDALGO Furthermore the HiDALGO benchmark suite is defined based on the available systems

Final Project Report

This document is the final version of the management report including the official publishable report As its predecessors D12 it will report on all the management information of the corresponding reporting period but also contain an overall critically analysis of the whole project from the viewpoint of the Technical Management Furthermore a final assessment will be performed which also gives an outlook to future opportunities

Final Report on Community Building, Event Management, Collaboration and Training

Within this document the final outcomes of HiDALGO are presented in particular with respect to community building established collaboration and training activities

Final Benchmark Results for innovative Architectures

This deliverable presents the final benchmark results which have been executed on cuttingedge architectures In strong cooperation with WP3 those benchmarks act as CoDesign baseline to discuss with the vendors available at the supercomputing centres

Final Report on Requirements, Components and Workflow Integration

Finally D66 concludes the developments of WP6 and presents the final outcomes of the components integration the final set of requirements and their KPIs as well as an Artificial Intelligence enabled workflow

First HIDALGO Portal Release and System Operation Report

D5.3 defines and reports about the first release of the HiDALGO Portal. A system operation report respecting the HiDALGO infrastructure is provided in addition.

Second HIDALGO Portal Release and System Operation Report

The second Portal release in conjunction with the system operation report is presented in D56 This deliverable includes a software release but also updated Portal architecture and development roadmap

Final Portal Release and System Operation Report

The final outcomes of the Portal developments are presented within this report Additionally like the predecessors the system operation details are also concluded

HiDALGO Website and Brand

This deliverable will present the initial version of the HiDALGO website and the design schemes (Logo, Deliverable Templates, Presentation Templates, etc.) for the project.

Pubblicazioni

Sensitivity-driven simulation development: A case study in forced migration

Autori: Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, Derek Groen
Pubblicato in: Phil. Trans. Royal Soc. A., Numero March 2021, 2021, ISSN 1471-2962
Editore: Royal Society
DOI: 10.1098/rsta.2020.0077

Applying machine learning methods to better understand, model and estimate mass concentrations of traffic-related pollutants at a typical street canyon

Autori: Iva Šimića, Mario Lovrić, Ranka Godeca, Mark Kröll, Ivan Bešlića
Pubblicato in: Environmental Pollution, Numero Vol. 263, Part B, 2020, ISSN 0269-7491
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.envpol.2020.114587

A route pruning algorithm for an automated geographic location graph construction

Autori: Christoph Schweimer, Bernhard C. Geiger, Meizhu Wang, Sergiy Gogolenko, Imran Mahmood, Alireza Jahani, Diana Suleimenovab, Derek Groen
Pubblicato in: Scientific Reports, Numero 11, Article No. 11547, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-90943-8

How Policy Decisions Affect Refugee Journeys in South Sudan: A Study Using Automated Ensemble Simulations

Autori: Diana Suleimenova, Derek Groen
Pubblicato in: Journal of Artificial Societies and Social Simulation, Numero 23/1, 2020, ISSN 1460-7425
Editore: University of Surrey
DOI: 10.18564/jasss.4193

FACS: A geospatial agent-based simulator for analyzing COVID-19 spread and public health measures on local region

Autori: Mahmood I, Arabnejad H, Suleimenova D, Sassoon I, Marshan A, Serrano A, Louvieris P, Anagnostou A, Taylor S, Bell D, Groen D
Pubblicato in: Journal of Simulation, Numero August 2020, 2020, ISSN 1747-7778
Editore: Palgrave Macmillan Ltd.
DOI: 10.1080/17477778.2020.1800422

Synwalk: Community Detection via Random Walk Modelling

Autori: Christian Toth and Denis Helic, Bernhard C. Geiger
Pubblicato in: Data Mining and Knowledge Discovery, Numero January 2022, 2022, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-021-00809-w

Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation Sensors

Autori: Francisco Javier Nieto, Unai Aguilera, Diego López-de-Ipiña
Pubblicato in: Sensors, Numero Vol. 21, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21186063

Positive Aging Admits Fast Asynchronous Plurality Consensus

Autori: Gregor Bankhamer, Robert Elsässer, Dominik Kaaser, Matjaž Krnc
Pubblicato in: Proceedings of the 39th Symposium on Principles of Distributed Computing, 2020, Pagina/e 385-394, ISBN 9781450375825
Editore: ACM
DOI: 10.1145/3382734.3406506

Towards a coupled migration and weather simulation: South Sudan conflict

Autori: Alireza Jahani, Hamid Arabnejad, Diana Suleimanova, Milana Vuckovic, Imran Mahmood, Derek Groen
Pubblicato in: Proc. Intl. Conference on Computational Science (ICCS'21), Numero yearly, 2021
Editore: LNCS, Springer
DOI: 10.1007/978-3-030-77977-1_40

Hybrid Simulation Development – Is It Just Analytics?

Autori: David Bell, Derek Groen, Navonil Mustafee, Jonathan Ozik, Steffem Strassburger
Pubblicato in: 2019 Winter Simulation Conference (WSC), 2019, Pagina/e 1352-1365, ISBN 978-1-7281-3283-9
Editore: IEEE
DOI: 10.1109/wsc40007.2019.9004923

Content-based Analytics: Moving Beyond Data Size

Autori: Dimitrios Tsoumakos, Ioannis Giannakopoulos
Pubblicato in: Proc. 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, Numero yearly, 2020
Editore: IEEE
DOI: 10.1109/bigdataservice49289.2020.00013

Fast Consensus via the Unconstrained Undecided State Dynamics

Autori: Gregor Bankhamer, Petra Berenbrink, Felix Biermeier, Robert Elsässer, Hamed Hosseinpour, Dominik Kaaser, Peter Kling
Pubblicato in: Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA'22), Numero yearly, 2022
Editore: SIAM
DOI: 10.1137/1.9781611977073.135

Multiobjective Simulation Optimization for Camp Location Problem in Humanitarian Logistics

Autori: Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Bernhard C. Geiger, Alireza Jahani, Derek Groen
Pubblicato in: Proc. Intl. Conference on Computational Science (ICCS'22), Numero yearly, 2022
Editore: LNCS, Springer

On Minimum Spanning Trees and the Inference of Message Cascades

Autori: Bernhard C. Geiger
Pubblicato in: Book of Abstracts: Intl. Conference on Complex Networks & Their Applications, Numero yearly, 2021
Editore: International Conference on Complex Networks and Their Applications

Insignificant changes in particulate matter concentrations during the COVID-19 lockdown

Autori: Mario Lovrić, Mario Antunović, Iva Šunić, Matej Vuković, Simonas Kecorius, Mark Kröll, Ivan Bešlić, Iva Šimić, Gordana Pehnec
Pubblicato in: Proc. Intl. Conference on Environmental Pollution, Treatment and Protection (ICEPTP'22), Numero yearly, 2022
Editore: Intl. ASET Inc.

Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation

Autori: Sophie Steger, Bernhard C. Geiger, Marek Smieja
Pubblicato in: Proc. ACM Symp. on Applied Computing (SAC'22), Numero yearly, 2022
Editore: ACM

On Functions of Markov Random Fields

Autori: Bernhard C. Geiger, Ali Al-Bashabsheh
Pubblicato in: Proc. IEEE Information Theory Workshop (ITW), Numero yearly, 2021, Pagina/e 316-320
Editore: IEEE
DOI: 10.1109/itw46852.2021.9457677

Towards Modelling the Effect of Evolving Violence on Forced Migration

Autori: Derek Groen, David Bell, Hamid Arabnejad, Diana Suleimenova, Simon J. E. Taylor, Anastasia Anagnostou
Pubblicato in: 2019 Winter Simulation Conference (WSC), 2019, Pagina/e 297-307, ISBN 978-1-7281-3283-9
Editore: IEEE
DOI: 10.1109/wsc40007.2019.9004683

Generating simple directed social network graphs for information spreading

Autori: Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan Velimsky, Robert Elsässer, Bernhard C. Geiger
Pubblicato in: Proc. ACM Web Conference (WWW'22), Numero yearly, 2022
Editore: ACM

An agent-based forced displacement simulation: A case study of the Tigray crisis

Autori: Diana Suleimenova, William Low, Derek Groen
Pubblicato in: Proc. Intl. Conference on Computational Science (ICCS'22), Numero yearly, 2022
Editore: LNCS, Springer

Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources

Autori: Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, F. Javier Nieto de Santos, John Hanley, Milana Vučković, Mark Kröll, Bernhard Geiger, Robert Elsässer, Dennis Hoppe
Pubblicato in: Computational Science – ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VI, Numero 12142, 2020, Pagina/e 410-424, ISBN 978-3-030-50432-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-50433-5_32

A Coupled Food Security and Refugee Movement Model for the South Sudan Conflict

Autori: Christian Vanhille Campos, Diana Suleimenova, Derek Groen
Pubblicato in: Computational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V, Numero 11540, 2019, Pagina/e 725-732, ISBN 978-3-030-22749-4
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22750-0_71

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