3D meshes are commonly used to represent virtual surface and volumes. However, their raw
data representations take a large amount of space. Hence, 3D mesh compression has been …

Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of
surrounding environments, however, with the current state of technology, the data which a …

Current compression schemes for floating-point data commonly take fixed-precision values
and compress them to a variable-length bit stream, complicating memory management and …

Large scale scientific simulation codes typically run on a cluster of CPUs that write/read time
steps to/from a single file system. As data sets are constantly growing in size, this …

Airborne laser scanning technology (LiDAR) makes it easy to collect large amounts of point
data that sample the elevation of the terrain beneath. The LAS format has become the de …

Modern large-scale scientific simulations running on HPC systems generate data in the
order of terabytes during a single run. To lessen the I/O load during a simulation run …

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 …

Modern data-intensive applications often generate large amounts of low precision float data
with a limited range of values. Despite the prevalence of such data, there is a lack of an …

Exploding dataset sizes from extreme‐scale scientific simulations necessitates efficient data
management and reduction schemes to mitigate I/O costs. With the discrepancy between I/O …

Proposed cache compression schemes make design-time assumptions on value locality to
reduce decompression latency. For example, some schemes assume that common values …