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 …

Today's scientific simulations require a significant reduction of data volume because of
extremely large amounts of data they produce and the limited I/O bandwidth and storage …

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 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 …

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 …

We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point
scientific data on structured and unstructured grids. With exceptional data compression …

Error-bounded lossy compression has been identified as a promising solution for
significantly reducing scientific data volumes upon users' requirements on data distortion …

The rapid expansion of computational capabilities and the evergrowing scale of modern
HPC systems present formidable challenges in managing exascale scientific data. Faced …