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 …

Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC
applications because it not only significantly reduces storage overhead but also can retain …

Efficient error-controlled lossy compressors are becoming critical to the success of today's
large-scale scientific applications because of the ever-increasing volume of data produced …

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 …

Error-bounded lossy compression is one of the most effective techniques for reducing
scientific data sizes. However, the traditional trial-and-error approach used to configure …

Lossy compressors are increasingly adopted in scientific research, tackling volumes of data
from experiments or parallel numerical simulations and facilitating data storage and …

Error-bounded lossy compression is a critical technique for significantly reducing scientific
data volumes. With ever-emerging heterogeneous high-performance computing (HPC) …

The increasing volume and velocity of science data necessitate the frequent movement of
enormous data volumes as part of routine research activities. As a result, limited wide-area …

Today's high-performance computing (HPC) applications are producing vast volumes of
data, which are challenging to store and transfer efficiently during the execution, such that …

Growing constraints on memory utilization, power consumption, and I/O throughput have
increasingly become limiting factors to the advancement of high performance computing …