Early experiences in application level I/O tracing on blue gene systems

Abstract

On todays massively parallel processing (MPP) supercomputers, it is increasingly important to understand I/O performance of an application both to guide scalable application development and to tune its performance. These two critical steps are often enabled by performance analysis tools to obtain performance data on thousands of processors in an MPP system. To this end, we present the design, implementation, and early experiences of an application level I/O tracing library and the corresponding tool for analyzing and optimizing I/O performance on Blue Gene (BG) MPP systems. This effort was a part of IBM UPC Toolkit for BG systems. To our knowledge, this is the first comprehensive application-level I/O monitoring, playback, and optimizing tool available on BG systems. The preliminary experiments on popular NPB BTIO benchmark show that the tool is much useful on facilitating detailed I/O performance analysis.