A Parallel I/O Behavior Model for HPC Applications Using Serial I/O Libraries

Abstract

Analyzing and understanding an application's Input/Output (I/O) access patterns provides key information to gain insight into how the behavior of an application affects its performance in different systems. In this paper, we propose a portable model to represent the I/O behavior of parallel applications that use serial I/O libraries, as part of a more holistic model for I/O of parallel applications. The model allows actions such as replication of the application behavior on different HPC systems and evaluation of the I/O performance without running the real application. In this paper, we evaluate the portability of the proposed model for MADbench2 and ABYSS- P in four HPC systems. We analyze the impact of the parallel system configuration in a Cloud environment for the ABYSS-P application by using the proposed I/O behavior model.