Applications running on leadership platforms are more and more bottlenecked by storage
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …

Modern large-scale scientific simulations running on HPC systems generate data in the
order of terabytes during a single run. To lessen the I/O load during a simulation run …

Peta-scale scientific applications running on High End Computing (HEC) platforms can
generate large volumes of data. For high performance storage and in order to be useful to …

The DOE Extreme-Scale Technology Acceleration Fast Forward Storage and IO Stack
project is going to have significant impact on storage systems design within and beyond the …

Exploding dataset sizes from extreme‐scale scientific simulations necessitates efficient data
management and reduction schemes to mitigate I/O costs. With the discrepancy between I/O …

The ever increasing amount of data generated by scientific simulations coupled with system
I/O constraints are fueling a need for in-situ analysis techniques. Of particular interest are …

Scaling computations on emerging massive-core supercomputers is a daunting task, which
coupled with the significantly lagging system I/O capabilities exacerbates applications' end …

With the massive scale of high-performance computing systems, long-running scientific
parallel applications periodically save the state of their execution to files called checkpoints …

High-performance computing (HPC) plays an important role during the development of Earth
system models. This chapter reviews HPC efforts related to Earth system models, including …

The process of scientific data analysis in high-performance computing environments has
been evolving along with the advancement of computing capabilities. With the onset of …