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HPC and Big Data Technologies for Global Systems

Livrables

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.

Publications

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

Auteurs: Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, Derek Groen
Publié dans: Phil. Trans. Royal Soc. A., Numéro March 2021, 2021, ISSN 1471-2962
Éditeur: 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

Auteurs: Iva Šimića, Mario Lovrić, Ranka Godeca, Mark Kröll, Ivan Bešlića
Publié dans: Environmental Pollution, Numéro Vol. 263, Part B, 2020, ISSN 0269-7491
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.envpol.2020.114587

A route pruning algorithm for an automated geographic location graph construction

Auteurs: Christoph Schweimer, Bernhard C. Geiger, Meizhu Wang, Sergiy Gogolenko, Imran Mahmood, Alireza Jahani, Diana Suleimenovab, Derek Groen
Publié dans: Scientific Reports, Numéro 11, Article No. 11547, 2021, ISSN 2045-2322
Éditeur: 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

Auteurs: Diana Suleimenova, Derek Groen
Publié dans: Journal of Artificial Societies and Social Simulation, Numéro 23/1, 2020, ISSN 1460-7425
Éditeur: 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

Auteurs: Mahmood I, Arabnejad H, Suleimenova D, Sassoon I, Marshan A, Serrano A, Louvieris P, Anagnostou A, Taylor S, Bell D, Groen D
Publié dans: Journal of Simulation, Numéro August 2020, 2020, ISSN 1747-7778
Éditeur: Palgrave Macmillan Ltd.
DOI: 10.1080/17477778.2020.1800422

Synwalk: Community Detection via Random Walk Modelling

Auteurs: Christian Toth and Denis Helic, Bernhard C. Geiger
Publié dans: Data Mining and Knowledge Discovery, Numéro January 2022, 2022, ISSN 1384-5810
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10618-021-00809-w

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

Auteurs: Francisco Javier Nieto, Unai Aguilera, Diego López-de-Ipiña
Publié dans: Sensors, Numéro Vol. 21, 2021, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21186063

Positive Aging Admits Fast Asynchronous Plurality Consensus

Auteurs: Gregor Bankhamer, Robert Elsässer, Dominik Kaaser, Matjaž Krnc
Publié dans: Proceedings of the 39th Symposium on Principles of Distributed Computing, 2020, Page(s) 385-394, ISBN 9781450375825
Éditeur: ACM
DOI: 10.1145/3382734.3406506

Towards a coupled migration and weather simulation: South Sudan conflict

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

Hybrid Simulation Development – Is It Just Analytics?

Auteurs: David Bell, Derek Groen, Navonil Mustafee, Jonathan Ozik, Steffem Strassburger
Publié dans: 2019 Winter Simulation Conference (WSC), 2019, Page(s) 1352-1365, ISBN 978-1-7281-3283-9
Éditeur: IEEE
DOI: 10.1109/wsc40007.2019.9004923

Content-based Analytics: Moving Beyond Data Size

Auteurs: Dimitrios Tsoumakos, Ioannis Giannakopoulos
Publié dans: Proc. 6th IEEE International Conference on Big Data Computing Service and Machine Learning Applications, Numéro yearly, 2020
Éditeur: IEEE
DOI: 10.1109/bigdataservice49289.2020.00013

Fast Consensus via the Unconstrained Undecided State Dynamics

Auteurs: Gregor Bankhamer, Petra Berenbrink, Felix Biermeier, Robert Elsässer, Hamed Hosseinpour, Dominik Kaaser, Peter Kling
Publié dans: Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA'22), Numéro yearly, 2022
Éditeur: SIAM
DOI: 10.1137/1.9781611977073.135

Multiobjective Simulation Optimization for Camp Location Problem in Humanitarian Logistics

Auteurs: Yani Xue, Miqing Li, Hamid Arabnejad, Diana Suleimenova, Bernhard C. Geiger, Alireza Jahani, Derek Groen
Publié dans: Proc. Intl. Conference on Computational Science (ICCS'22), Numéro yearly, 2022
Éditeur: LNCS, Springer

On Minimum Spanning Trees and the Inference of Message Cascades

Auteurs: Bernhard C. Geiger
Publié dans: Book of Abstracts: Intl. Conference on Complex Networks & Their Applications, Numéro yearly, 2021
Éditeur: International Conference on Complex Networks and Their Applications

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

Auteurs: Mario Lovrić, Mario Antunović, Iva Šunić, Matej Vuković, Simonas Kecorius, Mark Kröll, Ivan Bešlić, Iva Šimić, Gordana Pehnec
Publié dans: Proc. Intl. Conference on Environmental Pollution, Treatment and Protection (ICEPTP'22), Numéro yearly, 2022
Éditeur: Intl. ASET Inc.

Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation

Auteurs: Sophie Steger, Bernhard C. Geiger, Marek Smieja
Publié dans: Proc. ACM Symp. on Applied Computing (SAC'22), Numéro yearly, 2022
Éditeur: ACM

On Functions of Markov Random Fields

Auteurs: Bernhard C. Geiger, Ali Al-Bashabsheh
Publié dans: Proc. IEEE Information Theory Workshop (ITW), Numéro yearly, 2021, Page(s) 316-320
Éditeur: IEEE
DOI: 10.1109/itw46852.2021.9457677

Towards Modelling the Effect of Evolving Violence on Forced Migration

Auteurs: Derek Groen, David Bell, Hamid Arabnejad, Diana Suleimenova, Simon J. E. Taylor, Anastasia Anagnostou
Publié dans: 2019 Winter Simulation Conference (WSC), 2019, Page(s) 297-307, ISBN 978-1-7281-3283-9
Éditeur: IEEE
DOI: 10.1109/wsc40007.2019.9004683

Generating simple directed social network graphs for information spreading

Auteurs: Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan Velimsky, Robert Elsässer, Bernhard C. Geiger
Publié dans: Proc. ACM Web Conference (WWW'22), Numéro yearly, 2022
Éditeur: ACM

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

Auteurs: Diana Suleimenova, William Low, Derek Groen
Publié dans: Proc. Intl. Conference on Computational Science (ICCS'22), Numéro yearly, 2022
Éditeur: LNCS, Springer

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

Auteurs: 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
Publié dans: Computational Science – ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020, Proceedings, Part VI, Numéro 12142, 2020, Page(s) 410-424, ISBN 978-3-030-50432-8
Éditeur: 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

Auteurs: Christian Vanhille Campos, Diana Suleimenova, Derek Groen
Publié dans: Computational Science – ICCS 2019 - 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part V, Numéro 11540, 2019, Page(s) 725-732, ISBN 978-3-030-22749-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-22750-0_71

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