Architectural and technological trends of systems used for scientific computing call for a
significant reduction of scientific data sets that are composed mainly of floating-point data …

Abstract The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the
same time lossy compression for scientific data became an important topic for the scientific …

Today's scientific simulations require a significant reduction of the data size because of
extremely large volumes of data they produce and the limitation of storage bandwidth and …

With ever-increasing execution scale of the high performance computing (HPC)
applications, vast amount of data are being produced by scientific research every day. Error …

The World Climate Research Programme (WCRP)'s Working Group on Climate Modelling
(WGCM) Infrastructure Panel (WIP) was formed in 2014 in response to the explosive growth …

Compression of floating-point data will play an important role in high-performance
computing as data bandwidth and storage become dominant costs. Lossy compression of …

Modern scientific applications and supercomputing systems are generating large amounts of
data in various fields, leading to critical challenges in data storage footprints and …

Because of the vast volume of data being produced by today's scientific simulations and
experiments, lossy data compressor allowing user-controlled loss of accuracy during the …

With ever increasing volumes of data being generated in scientific simulations, experiments,
and observations, storage and bandwidth concerns are mounting. As a means of data …

To help understand our universe better, researchers and scientists currently run extreme-
scale cosmology simulations on leadership supercomputers. However, such simulations can …