Computational fluid dynamic simulations often produce large clusters of finite elements with non-trivial, non-convex boundaries and uneven distributions among compute nodes, posing …
Triggers are an emerging strategy for optimizing execution time for in situ analysis. However, their performance characteristics are complex, making it difficult to decide if a particular …
Interactively visualizing large finite element simulation data on High-Performance Computing (HPC) systems poses several difficulties. Some of these relate to unstructured …
In-situ processing addresses the gap between speeds of computing and I/O capabilities by processing data close to the data source, ie, on the same system as the data source (eg, a …
Molecular dynamics (MD) simulations are widely used to study large-scale molecular systems. HPC systems are ideal platforms to run these studies, however, reaching the …
In-situ and in-transit processing alleviate the gap between the computing and I/O capabilities by scheduling data analytics close to the data source. Hybrid in-situ processing splits data …
In-situ workflows are a special class of scientific workflows, where different component applications (such as simulation, visualization, analysis) run concurrently, and data flows …
2 BACKGROUND.................................... 2.1 Traditional Distributed Workflow........................ 2.1. 1 Task Scheduling for Traditional Distributed Workflows........ List scheduling …
The amount of data generated by numerical simulations in various scientific domains such as molecular dynamics, climate modeling, biology, or astrophysics, led to a fundamental …