@inproceedings{pdsw2009-poster,
author = {Jay Lofstead and Qing Liu and Scott Klasky and Michael Booth and Ron Oldfield and Karsten Schwan and Matthew Wolf},
title = {High Performance IO on Busy Systems},
    booktitle = {Poster presented at Petascale Data Storage Workshop 2009 at Supercomputing 2009},
abstract = {The file systems deployed to support petascale computing are managing to scale at the same rate as the compute node count. However, the compute core count per node is growing without considerations in the storage system. This increasing ratio of compute cores to storage targets demands adjustments to how IO is performed to achieve the best overall IO performance. Maximum degrees of parallelism for the file system may be reached and concurrent use of the same rotational media can artificially limit the possible performance attained for a single output. By performing adjustments to achieve excellent performance such as automatic splitting of the output into multiple parts and managing access to the storage targets, another issue becomes apparent. On a quiet file system, theoretical peak performance can be achieved. These systems are never quiet in practice. Interference in the file system from other applications can hamper performance by slowing output to a single storage target while others sit idle. In this paper, we document these variances and explore an adaptive approach to manage the variance.},
year = {2009}
}