VisIt: An end-user tool for visualizing and analyzing very large data

H Childs, E Brugger, B Whitlock, J Meredith, S Ahern… - 2012 - api.taylorfrancis.com
VisIt is a popular open source tool for visualizing and analyzing data. It owes its success to
its foci of increasing data understanding, large data support, and providing a robust and …

imMens: Real‐time Visual Querying of Big Data

Z Liu, B Jiang, J Heer - Computer graphics forum, 2013 - Wiley Online Library
Data analysts must make sense of increasingly large data sets, sometimes with billions or
more records. We present methods for interactive visualization of big data, following the …

A survey of visualization pipelines

K Moreland - IEEE transactions on visualization and computer …, 2012 - ieeexplore.ieee.org
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 …

[BOOK][B] High performance visualization: Enabling extreme-scale scientific insight

EW Bethel, H Childs, C Hansen - 2012 - books.google.com
Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

PreDatA–preparatory data analytics on peta-scale machines

F Zheng, H Abbasi, C Docan, J Lofstead… - … on Parallel & …, 2010 - ieeexplore.ieee.org
Peta-scale scientific applications running on High End Computing (HEC) platforms can
generate large volumes of data. For high performance storage and in order to be useful to …

Exploring the role of machine learning in scientific workflows: Opportunities and challenges

A Nouri, PE Davis, P Subedi, M Parashar - arxiv preprint arxiv …, 2021 - arxiv.org
In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …

Data reduction techniques for simulation, visualization and data analysis

S Li, N Marsaglia, C Garth, J Woodring… - Computer graphics …, 2018 - Wiley Online Library
Data reduction is increasingly being applied to scientific data for numerical simulations,
scientific visualizations and data analyses. It is most often used to lower I/O and storage …

FastBit: interactively searching massive data

K Wu, S Ahern, EW Bethel, J Chen… - Journal of Physics …, 2009 - iopscience.iop.org
As scientific instruments and computer simulations produce more and more data, the task of
locating the essential information to gain insight becomes increasingly difficult. FastBit is an …

Goldrush: Resource efficient in situ scientific data analytics using fine-grained interference aware execution

F Zheng, H Yu, C Hantas, M Wolf… - Proceedings of the …, 2013 - dl.acm.org
Severe I/O bottlenecks on High End Computing platforms call for running data analytics in
situ. Demonstrating that there exist considerable resources in compute nodes un-used by …

Extreme scaling of production visualization software on diverse architectures

H Childs, D Pugmire, S Ahern… - IEEE Computer …, 2010 - ieeexplore.ieee.org
A series of experiments studied how visualization software scales to massive data sets.
Although several paradigms exist for processing large data, the experiments focused on …