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Valeria V. Krzhizhanovskaya - Gäbor Zävodszky - Michael H. Lees - Jack J. Dongarra - Peter M. A. Sloot - Sérgio Brissos - Jodo Teixeira (Eds.) Computational Science ICCS 2020 20th International Conference Amsterdam, The Netherlands, June 3-5, 2020 Proceedings, Part I A Springer
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Computational science - ICCS 2020

Feb 23, 2022

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Page 1: Computational science - ICCS 2020

Valeria V. Krzhizhanovskaya -Gäbor Zävodszky - Michael H. Lees -Jack J. Dongarra - Peter M. A. Sloot -Sérgio Brissos - Jodo Teixeira (Eds.)

ComputationalScience — ICCS 2020

20th International ConferenceAmsterdam, The Netherlands, June 3-5, 2020Proceedings, Part I

A Springer

Page 2: Computational science - ICCS 2020

Contents — Part I

ICCS Main Track

An Efficient New Static Scheduling Heuristicfor Accelerated Architectures . s

Thomas McSweeney, Neil Walton, and Mawussi Zounon

Multilevel Parallel Computations for Solving Multistage MulticriteriaOptimization Problems. . . .

Victor Gergel and Evgeny Kozinov

Enabling Hardware Affinity in JVM-Based Applications:A Case Study for Big Data . .

Roberto R. Exposito, Jorge Veiga, and Juan

An Optimizing Multi-platform Source-to-source Compiler Frameworkfor the NEURON MObDeling Language .. ... D.

Pramod Kumbhar, Omar Awile, Liam Keegan, Jorge Blanco Alonso,James King, Michael Hines, and Felix Schürmann

Parallel Numerical Solution of a 2D Chemotaxis-Stokes Systemon GPUs Technology ...

Raffaele D'Ambrosio, Stefano Di Giovacchino, and Donato Pera

Automatic Management of Cloud Applications with Use of ProximalPolicy Optimization. . . .

Wiodzimierz Funika, Pawel Koperek, and Jacek Kitowski

Utilizing GPU Performance Counters to Characterize GPU Kernelsvia Machine Learning . . . . :

Bob Zigon and Fengguang Song

A Massively Parallel Algorithm for the Three-DimensionalNavier-Stokes-Boussinesq Simulations of the Atmospheric Phenomena . ... '

Maciej Paszynski, Leszek Siwik, Krzysztof Podsiadio, and Peter Minev

Reconstruction of Low Energy Neutrino Events with GPUs at IceCube . . t

Maicon Hieronymus, Bertil Schmidt, and Sebastian Böser

Cache-Aware Matrix Polynomials . . .

Dominik Huber, Martin Schreiber, Dai Yang, and Martin Schulz

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Page 3: Computational science - ICCS 2020

Contents — Part I

QEScalor: Quantitative Elastic Scaling Framework in DistributedStreaming Processing. .. .

Weimin Mu, Zongze Jin, Weilin Zhu, Fan Liu, Zhenzhen Li, Ziyuan Zhu,and Weiping Wang

From Conditional Independence to Parallel Executionin Hierarchical Models. .. . E

Balazs Nemeth, Tom Haber, Jori Liesenborgs, and Wim Lamotte

Improving Performance of the Hypre Iterative Solver for UintahCombustion Codes on Manycore Architectures Using MPI Endpointsand Kernel Consolidation. . 175

Damodar Sahasrabudhe and Martin Berzins

Analysis of Checkpoint I/O BehaviorBetzabeth Leon, Pilar Gomez-Sanchez, Daniel Franco,Dolores Rexachs, and Emilio Luque

Enabling EASEY Deployment of Containerized Applicationsfor Future HPC Systems . . . . e.

Maximilian Hób and Dieter Kranzlmüller

Reproducibility of Computational Experiments on Kubernetes-ManagedContainer Clouds with HyperFlow .. IM

Michal Orzechowski, Bartosz Balis, Renata G. Slota, and Jacek Kitowski

GPU-Accelerated RDP Algorithm for Data Segmentation. . . 27°Pau Cebrian and Juan Carlos Moure

Sparse Matrix-Based HPC Tomography . . 2

Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque,Talita Perciano, and Dilworth Parkinson

heFFTe: Highly Efficient FFT for Exascale . MELAlan Ayala, Stanimire Tomov, Azzam Haidar, and Jack Dongarra

Scalable Workflow-Driven Hydrologic Analysis in HydroFrame . . meShweta Purawat, Cathie Olschanowsky, Laura E. Condon,Reed Maxwell, and Ilkay Altintas

Patient-Specific Cardiac Parametrization from Eikonal Simulations DonsDaniel Ganellari, Gundolf Haase, Gerhard Zumbusch, Johannes Lotz,Patrick Peltzer, Klaus Leppkes, and Uwe Naumann

An Empirical Analysis of Predictors for Workload Estimation in Healthcare ... 2"Roberto Gatta, Mauro Vallati, Ilenia Pirola, Jacopo Lenkowicz,Luca Tagliaferri, Carlo Cappelli, and Maurizio Castellano

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Page 4: Computational science - ICCS 2020

Contents — Part I

How You Say or What You Say? Neural Activity in MessageCredibility Evaluation .... ^

Lukasz Kwasniewicz, Grzegorz M. Wojcik, Andrzej Kawiak,Piotr Schneider, and Adam Wierzbicki

Look Who's Talking: Modeling Decision Making Basedon Source Credibility. . . .

Andrzej Kawiak, Grzegorz M. Wojcik, Lukasz Kwasniewicz,Piotr Schneider, and Adam Wierzbicki

An Adaptive Network Model for Burnout and Dreaming . . . 3.

Mathijs Maijer, Esra Solak, and Jan Treur

Computational Analysis of the Adaptive Causal Relationships BetweenCannabis, Anxiety and Sleep . . .

Merijn van Leeuwen, Kirsten Wolthuis, and Jan Treur

Detecting Critical Transitions in the Human Innate Immune SystemPost-cardiac Surgery . . .

Alva Presbitero, Rick Quax, Valeria V. Krzhizhanovskaya,and Peter M. A. Sloot

Using Individual-Based Models to Look Beyond the Horizon:The Changing Effects of Household-Based Clustering of Susceptibilityto Measles in the Next 20 Years. . .

Elise Kuylen, Jori Liesenborgs, Jan Broeckhove, and Niel Hens

Modelling the Effects of Antibiotics on Gut Flora Using a NonlinearCompartment Model with Uncertain Parameters

Thulasi Jegatheesan and Hermann J. Eberl

Stochastic Volatility and Early Warning Indicator . 4*5Guseon Ji, Hyeongwoo Kong, Woo Chang Kim, and Kwangwon Ahn

Boost and Burst: Bubbles in the Bitcoin Market . ^7

Nam-Kyoung Lee, Eojin Yi, and Kwangwon Ahn

Estimation of Tipping Points for Critical and Transitional Regimesin the Evolution of Complex Interbank Network. . . . D.

Valentina Y. Guleva

Modeling of Fire Spread Including Different Heat Transfer MechanismsUsing Cellular Automata . . . . ^

Jarosiaw Wqs, Artur Karp, Szymon £ukasik, and Dariusz Palka

Narrow Passage Problem Solution for Motion Planning . . .

Jakub Szkandera, Ivana Kolingerová, and Martin Mañäk

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+ 42

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Page 5: Computational science - ICCS 2020

: Contents — Part I

Fault Injection, Detection and Treatment in SimulatedAutonomous Vehicles . . . . ll ^

Daniel Garrido, Leonardo Ferreira, Jodo Jacob,and Daniel Castro Silva

Using Cellular Automata to Model High Density Pedestrian Dynami 3Grzegorz Bazior, Dariusz Palka, and Jarostaw Was

Autonomous Vehicles as Local Traffic OptimizersAshna Bhatia, Jordan Ivanchev, David Eckhoff, and Alois Knoll

Modeling Helping Behavior in Emergency Evacuations Using Volunteer'sDilemma Game. . 5

Jaeyoung Kwak, Michael H. Lees, Wentong Cai, and Marcus E. H. Ong

Learning Mixed Traffic Signatures in Shared Networks . . . . . “

Hamidreza Anvari and Paul Lu

À Novel Metric to Evaluate In Situ Workflows. . ‘

Tu Mai Anh Do, Loic Pottier, Stephen Thomas, Rafael Ferreira da Silva,Michel A. Cuendet, Harel Weinstein, Trilce Estrada, Michela Taufer,and Ewa Deelman

Social Recommendation in Heterogeneous Evolving Relation NetworkBo Jiang, Zhigang Lu, Yuling Liu, Ning Li, and Zelin Cui

DDNE: Discriminative Distance Metric Learning for Network Embedding... ©Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang,Pengfei Yin, Jie Cheng, and Jing Li

Extracting Backbone Structure of a Road Network from Raw Data. . . ..

Hoai Nguyen Huynh and Roshini Selvakumar

Look Deep into the New Deep Network: A Measurement Study on theZeroNet . .

Sivuan Wang, Yue Gao, Jingiao Shi, Xuebin Wang, Can Zhao,and Zelin Yin

Identifying Influential Spreaders On a Weighted Network UsingHookeRank Method . . . . E D.

Sanjay Kumar, Nipun Aggarwal, and B. S. Panda

Community Aware Models of Meme Spreadingin Micro-blog Social Networks . . .

Mikotaj Kromka, Wojciech Czech, and Witold Dzwinel

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Page 6: Computational science - ICCS 2020

Contents — Part I

A Dynamic Vote-Rank Based Approach for Effective SequentialInitialization of Information Spreading Processes WithinComplex Networks . . .

Patryk Pazura, Kamil Bortko, Jarostaw Jankowski,and Radoslaw Michalski

On the Planarity of Validated Complexes of Model Organismsin Protein-Protein Interaction Networks . el.

Kathryn Cooper, Nathan Cornelius, William Gasper,Sanjukta Bhowmick, and Hesham Ali

Towards Modeling of Information Processing Within Business-Processesof Service-Providing Organizations . . . .

Sergey V. Kovalchuk, Anastasia A. Funkner, Ksenia Y. Balabaeva,Ilya V. Derevitskii, Vladimir V. Fonin, and Nikita V. Bukhanov

A Probabilistic Infection Model for Efficient Trace-Predictionof Disease Outbreaks in Contact Networks . . . e.

Willian Qian, Sanjukta Bhowmick, Marty O Neill,Susie Ramisetty-Mikler, and Armin R. Mikler

Eigen-AD: Algorithmic Differentiation of the Eigen Library. . .Patrick Peltzer, Johannes Lotz, and Uwe Naumann

Author Index ........ . ........ D. 7

X1¥

638

652

667

676

690

705