Extreme scale scientific simulations are leading a charge to exascale computation, and data
analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O …

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

Bitmap indices are efficient for answering queries on low-cardinality attributes. In this article,
we present a new compression scheme called Word-Aligned Hybrid (WAH) code that makes …

This paper presents two new strategies that can be used to greatly improve the speed of
connected component labeling algorithms. To assign a label to a new object, most …

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 …

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 …

It is well established that bitmap indices are efficient for read-only attributes with low attribute
cardinalities. For an attribute with a high cardinality, the size of the bitmap index can be very …

In today's world, it is vital to have strong cybersecurity measures in place. To combat the
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …

Approximate aggregation has been a popular approach for interactive data analysis and
decision making, especially on large-scale datasets. While there is clearly a need to apply …

Today's computing architectures and device technologies are unable to meet the
increasingly stringent demands on energy and performance posed by emerging …