Computational Science - ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part I / edited by Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira.

Format:

Book

Contributor:

Krzhizhanovskaya, Valeria V., Editor.

Závodszky, Gábor., Editor.

Lees, Michael H., Editor.

Dongarra, J. J., Editor.

Sloot, Peter M. A., Editor.

Brissos, Sérgio., Editor.

Teixeira, João., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12137

Theoretical Computer Science and General Issues, 2512-2029 ; 12137

Language:

English

Subjects (All):

Computer science.

Computer engineering.

Computer networks.

Computer science-Mathematics.

Artificial intelligence.

Logic design.

Theory of Computation.

Computer Engineering and Networks.

Mathematics of Computing.

Artificial Intelligence.

Logic Design.

Local Subjects:

Theory of Computation.

Computer Engineering and Networks.

Mathematics of Computing.

Artificial Intelligence.

Logic Design.

Physical Description:

1 online resource (XIX, 707 pages) : 469 illustrations, 278 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Contents:

ICCS Main Track

An efficient new static scheduling heuristic for accelerated architectures

Multilevel Parallel Computations for Solving Multistage Multicriteria Optimization Problems

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

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

Parallel numerical solution of a 2D Chemotaxis-Stokes system on GPUs technology

Automatic management of cloud applications with use of Proximal Policy Optimization

Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning

A massively parallel algorithm for the three-dimensional Navier-Stokes-Boussinesq simulations of the atmospheric phenomena

Reconstruction of Low Energy Neutrino Events with GPUs at IceCube

Cache-Aware Matrix Polynomials

QEScalor: Quantitative Elastic Scaling Framework in Distributed Streaming Processing

From Conditional Independence to Parallel Execution in Hierarchical Models

Improving performance of the Hypre iterative solver for Uintah combustion codes on manycore architectures using MPI Endpoints and Kernel Consolidation

Analysis of Checkpoint I/O behavior

Enabling EASEY deployment of containerized applications for future HPC systems

Reproducibility of computational experiments on Kubernetes-managed container clouds with HyperFlow

GPU-accelerated RDP Algorithm for Data Segmentation

Sparse Matrix-Based HPC Tomography

heFFTe: Highly Efficient FFT for Exascale

Scalable Workflow-Driven Hydrologic Analysis in HydroFrame

Patient-specific cardiac parametrization from Eikonal simulations

An Empirical Analysis of Predictors for Workload Estimation in Healthcare

How You Say Or What You Say? Neural Activity in Message Credibility Evaluation

Look Who's Talking: Modeling Decision Making Based on Source Credibility

An Adaptive Network Model for Burnout and Dreaming

Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep

Detecting Critical Transitions in the Human Innate Immune System Post-Cardiac Surgery

Using individual-based models to look beyond the horizon: the changing effects of household-based clustering of susceptibility to measles in the next 20 years

Modelling the effects of antibiotics on gut flora using a nonlinear compartment model with uncertain parameters

Stochastic volatility and early warning indicator

Boost and Burst: Bubbles in the Bitcoin Market

Estimation of tipping points for critical and transitional regimes in the evolution of complex interbank network

Modeling of Fire Spread including Different Heat Transfer Mechanisms using Cellular Automata

Narrow passage problem solution for motion planning

Fault Injection, Detection and Treatment in Simulated Autonomous Vehicles

Using Cellular Automata to Model High Density Pedestrian Dynamics

Autonomous Vehicles as Local Traffic Optimizers

Modeling Helping Behavior in Emergency Evacuations using Volunteer's Dilemma Game

Learning Mixed Traffic Signatures in Shared Networks

A Novel Metric to Evaluate In Situ Workflows

Social Recommendation in Dynamic Evolving Relation Network

DDNE: Discriminative Distance Metric Learning for Network Embedding

Extracting Backbone Structure of a Road Network from Raw Data

Look Deep into the New Deep Network: A Measurement Study on the ZeroNet

Identifying influential spreaders on a weighted network using HookeRank method

Community aware models of meme spreading in micro-blog social networks

Dynamic Vote-Rank Based Approach for Effective Sequential Initialization of Information Spreading Processes within Complex Networks

On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks

Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations

A Probabilistic Infection Model for Efficient Trace-Prediction of Disease Outbreaks in Contact Networks

Eigen-AD: Algorithmic Differentiation of the Eigen Library.

Other Format:

Printed edition:

ISBN:

978-3-030-50371-0

9783030503710

Access Restriction:

Restricted for use by site license.