Many multiscale simulation problems require a many-to-one coupling between different
scales. For such coupled problems, researchers oftentimes focus on the coupling …

The unstructured resource discovery has capabilities that can be used as a mechanism for
creating a responsive structure and scalability in Distributed Exascale Systems for managing …

One of the greatest challenges in High-Performance Computing (HPC) is the need to build
resilient systems. Resilience is an especially difficult challenge in HPC, in which tightly …

We describe a method for queue wait time prediction in supercomputing clusters. It was
designed for use as a part of multi-criteria brokering mechanisms for resource selection in a …

Urgent computing for decision support in critical situations requires a cutting-edge
interdisciplinary research combining data-driven modelling, high-performance computing …

Summary The Micro Manager facilitates coupling between simulation software packages,
which solve problems at different physical scales. Broadly speaking, simulation-based …

The General Curvilinear Coastal Ocean Model (GCCOM) is a 3D curvilinear, structured-
mesh, non-hydrostatic, large-eddy simulation model that is capable of running oceanic …

In computing systems, the execution trend pattern for the application indicates the executing
trend of the application based on the application features, as well as the ability of the system …

Multiscale modeling is a systematic approach to describe the behavior of complex systems
by coupling models from different scales. The approach has been demonstrated to be very …

The extreme scaling pattern of the ComPat project is applied to a multi-scale workflow
relevant to the magnetically confined fusion problem. This workflow combines transport …