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 …

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 …

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 …

Image quality assessment (IQA) algorithms aim to reproduce the human's perception of the
image quality. The growing popularity of image enhancement, generation, and recovery …

With ever-increasing volumes of scientific floating-point data being produced by high-
performance computing applications, significantly reducing scientific floating-point data size …

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

Lossless compressors have very low compression ratios that do not meet the needs of
today's large-scale scientific applications that produce vast volumes of data. Error-bounded …

As the computation power of supercomputers increases, so does simulation size, which in
turn produces orders-of-magnitude more data. Because generated data often exceed the …

Hundreds of petabytes are produced annually at weather and climate forecast centers
worldwide. Compression is essential to reduce storage and to facilitate data sharing. Current …