Data reduction techniques have been widely demanded and used by large-scale high
performance computing (HPC) applications because of vast volumes of data to be produced …

Error-bounded lossy compression is becoming more and more important to today's extreme-
scale HPC applications because of the ever-increasing volume of data generated because it …

Lossy compression is one of the most important strategies to resolve the big science data
issue, however, little work was done to make it resilient against silent data corruptions …

Because of the ever-increasing data being produced by today's high performance
computing (HPC) scientific simulations, I/O performance is becoming a significant bottleneck …

Due to the increasing scale of scientific research, scientists need to collect massive amounts
of data to solve complex scientific problems. The exponential growth of data poses …

Error-controlled lossy compression has been studied for years because of extremely large
volumes of data being produced by today's scientific simulations. None of existing lossy …

Scientific simulations generate large amounts of floating-point data, which are often not very
compressible using the traditional reduction schemes, such as deduplication or lossless …

Recently, increasing attention has been paid to data reduction in the high-performance
computing (HPC) environment where a large volume of data are produced continually …

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 …

Lossy compression is becoming an indispensable technique for the success of today's
extreme-scale high-performance computing projects that produce vast volumes of data …