The end of Moore's Law and Dennard Scaling has slowed processor improvements in the
past decade. While multi-core processors have improved performance, they are limited by …

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 …

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 …

Lossy compression and asynchronous I/O are two of the most effective solutions for reducing
storage overhead and enhancing I/O performance in large-scale high-performance …

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 …

Weather and climate simulations produce petabytes of high-resolution data that are later
analyzed by researchers in order to understand climate change or severe weather. We …

As supercomputers advance towards exascale capabilities, computational intensity
increases significantly, and the volume of data requiring storage and transmission …

Benefiting from the cutting-edge supercomputers that support extremely large-scale
scientific simulations, climate research has advanced significantly over the past decades …