The Visuel Performance Analysis and Monitoring Tool for Cluster Enviroments

Abstract

In this paper, we present Visuel tool for performance measurement and analysis of MPI parallel programs in cluster environments. Most of tools available today for cluster systems show system performance data (e.g., CPU load, memory usage, network bandwidth, machine-room temperature, server average load, among others), being more suitable for system administrators who maintain such system. The Visuel tool is designed to show performance data of all computer nodes involved in the execution of MPI parallel program, such as CPU load level and memory usage. Moreover, this tool is able to display comparative performance data charts of multiple executions of the application under development of an MPI application.