Abstract
We describe the design and implementation of an application-level parallel I/O (PIO) library for the reading and writing of distributed arrays to several common scientific data formats. PIO provides the flexibility to control the number of I/O tasks through data rearrangement to an I/O friendly decomposition. This flexibility enables reductions in per task memory usage and improvements in disk I/O performance versus a serial I/O approach. We illustrate the impact various features within PIO have on memory usage and disk I/O bandwidth on a Cray XT5 system.
| Original language | English |
|---|---|
| Pages (from-to) | 43-53 |
| Number of pages | 11 |
| Journal | International Journal of High Performance Computing Applications |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2012 |
Keywords
- Earth System Modeling
- memory efficient
- netCDF
- parallel computing
- Parallel I/O