The most common abstraction used by visualization libraries and applications today is what
is known as the visualization pipeline. The visualization pipeline provides a mechanism to …

This system paper presents the Topology ToolKit (TTK), a software platform designed for the
topological analysis of scalar data in scientific visualization. While topological data analysis …

A major challenge in modelling and simulation is the need to combine expertise in both
software technologies and a given scientific domain. When High-Performance Computing …

We port a high-order finite-element application that performs the numerical simulation of
seismic wave propagation resulting from earthquakes in the Earth on NVIDIA GeForce 8800 …

Research scientists and medical professionals use imaging technology, such as computed
tomography (CT) and magnetic resonance imaging (MRI) to measure a wide variety of …

Software-intensive systems in most domains, from autonomous vehicles to health, are
becoming predominantly parallel to efficiently manage large amount of data in short (even …

We present a set of building blocks that provide scalable data movement capability to
computational scientists and visualization researchers for writing their own parallel analysis …

Heterogeneous systems with CPUs and computational accelerators such as GPUs, FPGAs
or the upcoming Intel MIC are becoming mainstream. In these systems, peak performance …

Due to the wide variety of current and next-generation supercomputing architectures, the
development of highperformance parallel visualization and analysis operators frequently …

Many algorithms for scientific visualization and image analysis are rooted in the world of
continuous scalar, vector, and tensor fields, but are programmed in low-level languages and …