PAID-IO Optimization of BlueTides

Tiziana Di Matteo, Carnegie Mellon University

Usage Details

Is I/O limiting your ability to do your science? Recent examination of I/O performance at several supercomputing centers showed that many applications were I/O limited; some were unaware that they could do much better. This project will be extending some existing tools to help identify sources of I/O performance problems and providing new tools to help improve I/O performance with minimum impact on applications. This project is looking for teams interested in (a) evaluating I/O performance and choice of I/O methods, (b)providing feedback on preferred I/O workflow (how you wish that it would work, not just how you've chosen to handle I/O in the pursuit of adequate performance), and (c) exploring the use of alternative I/O approaches including automatic performance tuning methods.