Architectural and technological trends of systems used for scientific computing call for a
significant reduction of scientific data sets that are composed mainly of floating-point data …

Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Today's floating-point arithmetic landscape is broader than ever. While scientific computing
has traditionally used single precision and double precision floating-point arithmetics, half …

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 …

We present ADIOS 2, the latest version of the Adaptable Input Output (I/O) System. ADIOS 2
addresses scientific data management needs ranging from scalable I/O in supercomputers …

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 the data size because of
extremely large volumes of data they produce and the limitation of storage bandwidth and …

Many IoT systems generate a huge and varied amount of data that need to be processed
and responded to in a very short time. One of the major challenges is the high energy …

Today's HPC applications are producing extremely large amounts of data, such that data
storage and analysis are becoming more challenging for scientific research. In this work, we …

Data are naturally collected in their raw state and must undergo a series of preprocessing
steps to obtain data in their input state for Artificial Intelligence (AI) and other applications …