With the onset of extreme-scale computing, I/O constraints make it increasingly difficult for
scientists to save a sufficient amount of raw simulation data to persistent storage. One …

Unmatched computation and storage performance in new HPC systems have led to a
plethora of I/O optimizations ranging from application-side collective I/O to network and disk …

With exascale computing on the horizon, the performance variability of I/O systems
represents a key challenge in sustaining high performance. In many HPC applications, I/O is …

Supercomputer design is a complex, multi-dimensional optimization process, wherein
several subsystems need to be reconciled to meet a desired figure of merit performance for …

Severe I/O bottlenecks on High End Computing platforms call for running data analytics in
situ. Demonstrating that there exist considerable resources in compute nodes un-used by …

Reducing the amount of data stored by simulations will be of utmost importance for the next
generation of large-scale computing. Accordingly, there is active research to shift analysis …

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting
scientists to process simulation output data online while simulations are running and before …

Understanding workload characteristics is critical for optimizing and improving the
performance of current systems and software, and architecting new storage systems based …

DRAM is a precious resource in extreme-scale machines and is increasingly becoming
scarce, mainly due to the growing number of cores per node. On future multi-petaflop and …

Increasingly larger scale applications are generating an unprecedented amount of data.
However, the increasing gap between computation and I/O capacity on High End Computing …