Computational Science - Iccs 2020

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 Outbre