HPC I/O trace extrapolation

Today’s rapid development of supercomputers has caused I/O performance to become a major performance bottleneck for many scientific applications. Trace analysis tools have thus become vital for diagnosing root causes of I/O problems. This work contributes an I/O tracing framework with elastic traces. After gathering a set of smaller traces, we extrapolate the application trace to a large numbers of nodes. The traces can in principle be extrapolated even beyond the scale of present-day systems. Experiments with I/O benchmarks on up to 320 processors indicate that extrapolated I/O trace replays closely resemble the I/O behavior of equivalent applications.

• Type: Journal
• Year: 2015
• Where: SC
• Authors: Xiaoqing Luo, Frank Mueller, Philip H. Carns, John Jenkins, Robert Latham, Robert B. Ross, Shane Snyder
• Keywords: Applied Computing, SC 2015