Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

In the petascale era, the storage stack used by the extreme scale high performance
computing community is fairly homogeneous across sites. On the compute edge of the stack …

Flow fields are an important product of scientific simulations. One popular flow visualization
technique is particle advection, in which seeds are traced through the flow field. One use of …

(57) ABSTRACT Solid-State Drive (SSD) burst buffer nodes are interposed into a parallel
Supercomputing cluster to enable fast burst checkpoint of cluster memory to or from nearby …

Stream surfaces and streamlines are two popular methods for visualizing three-dimensional
flow fields. While several parallel streamline computation algorithms exist, relatively little …

(57) ABSTRACT A parallel Supercomputing cluster includes compute nodes interconnected
in a mesh of data links for executing an MPI job, and Solid-state storage nodes each linked …

As CPU processing power becomes more powerful and storage capacity increases,
performing data-intensive visualization computations involving large data on a desktop …

There are multiple algorithms for parallelizing particle advection for scientific visualization
workloads. While many previous studies have contributed to the understanding of individual …

The visualization of vector fields is a challenging area of scientific visualization. For
example, the analysis of fluid flow that governs natural phenomena on all scales, from the …

For simulating a parallel Supercomputing cluster, a simula tion program includes a model of
the system of compute nodes and a model of an I/O subsystem that stores check points from …