Titlebook: Simulation Science; First International Marcus Baum,Gunther Brenner,Anita Schöbel Conference proceedings 2018 Springer Nature Switzerland

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Accelerated Simulation of Sphere Packings Using Parallel Hardwaresimulation can be obtained using parallel hardware (GPU), but this requires specialized data structures and algorithms. We present a parallel version of the so-called collective rearrangement algorithm that allows to simulate random close packings of up to several million spherical particles from an

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MC/MD Coupling for Scale Bridging Simulations of Solute Segregation in Solids: An Application Studyion of interstitial atoms in solids. Simulations were performed using the proposed coupling approach to demonstrate its potential to model carbon segregation in ferritic steels with a single dislocation. Many simulations were carried out for different background carbon concentrations. This paper is

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Morose

Simulating Software Refactorings Based on Graph Transformationsre the results more accurate, we need to model real world practices. In this paper, we consider the specific problem of including software refactorings in our simulation. We describe these refactorings as graph transformations and apply parameters we collected from open source projects.

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Transparent Model-Driven Provisioning of Computing Resources for Numerically Intensive Simulationsputing clusters that are solely built for this purpose. However, modern data centers do not only provide access to these high performance computing systems, but also offer other types of computing resources e.g., cloud systems, grid systems, or access to specialized computing resources, such as clus

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Learning State Mappings in Multi-Level-Simulation effort. We introduce multi-level-simulation (Our Multi-Level-Simulation approach was already published in [.]. The description of our approach in this paper is based on this publication and updates it. This description is the context to the results on learning State mappings within Multi-Level-Simu

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Assessing Simulated Software Graphs Using Conditional Random Fields yet others prosper. For each simulation however, there is a need to have an assessment of the simulation results. We use Conditional Random Fields, specifically a variant form based on the Ising model from theoretical physics, to assess software graph quality. Our CRF-based assessment model works o