Extremely high data rates at modern synchrotron and X-ray free-electron laser light source
beamlines motivate the use of machine learning methods for data reduction, feature …

Extreme-scale simulations and experiments can generate large amounts of data, whose
volume can exceed the compute and/or storage capacity at the simulation or experimental …

High Performance Computing (HPC) is an important method for scientific discovery via large-
scale simulation, data analysis, or artificial intelligence. Leadership-class supercomputers …

Modern scientific instruments, such as detectors at synchrotron light sources, generate data
at such high rates that online processing is needed for data reduction, feature detection …

Wide area file transfers play an important role in many science applications. File transfer
tools typically deliver the highest performance for datasets with a small number of large files …

Scientific applications generate large volumes of data that often needs to be moved between
geographically distributed sites for collaboration or backup which has led to a significant …

Research networks provide high-speed wide-area network connectivity between research
and education institutions to facilitate large-scale data transfers. However, scalability issues …

File transfers in high-speed networks require network and I/O parallelism to reach high
speeds, however, creating arbitrarily large numbers of I/O and network threads overwhelms …

Many extreme-scale applications require the movement of large quantities of data to, from,
and among leadership computing facilities, as well as other scientific facilities and the home …

Scientific computing systems are becoming significantly more complex, with distributed
teams and complex workflows spanning resources from telescopes and light sources to fast …