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 …

Most of particle methods share the problem of high computational cost and in order to satisfy
the demands of solvers, currently available hardware technologies must be fully exploited …

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting
scientists to process simulation output data online while simulations are running and before …

Decaf is a dataflow system for the parallel communication of coupled tasks in an HPC
workflow. The dataflow can perform arbitrary data transformations ranging from simply …

High performance computing systems are today composed of tens of thousands of
processors and deep memory hierarchies. The next generation of machines will further …

One of the most pressing issues with petascale analysis is the transport of simulation results
data to a meaningful analysis. Traditional workflow prescribes storing the simulation results …

In this paper we present an investigation about techniques and frameworks supporting in
situ-visualization. With this term we mean that visualization is coupled with simulation and it …

In the era of data-intensive computing, large-scale applications, in both scientific and the
BigData communities, demonstrate unique I/O requirements leading to a proliferation of …

Over the past few years, the increasing amounts of data produced by large-scale simulations
have motivated a shift from traditional offline data analysis to in situ analysis and …

In situ visualization has become a popular method for avoiding the slowest component of
many visualization pipelines: reading data from disk. Most previous in situ work has focused …