Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

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 are producing vast volumes of data that cannot be stored and
transferred efficiently because of limited storage capacity, parallel I/O 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 …

Error-bounded lossy compression is becoming an indispensable technique for the success
of today's scientific projects with vast volumes of data produced during the simulations or …

Error-bounded lossy compression has been effective to resolve the big scientific data issue
because it has a great potential to significantly reduce the data volume while allowing users …

Molecular dynamics (MD) has been widely used in today's scientific research across
multiple domains including materials science, biochemistry, biophysics, and structural …

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

Nowadays, data reduction is becoming increasingly important in dealing with the large
amounts of scientific data. Existing multilevel compression algorithms offer a promising way …

Today's scientific simulations and instruments are producing a large amount of data, leading
to difficulties in storing, transmitting, and analyzing these data. While error-controlled lossy …