Extending ClusterSim with MP and DSM modules

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we present a new version of ClusterSim (Cluster Simulation Tool), in which we included two new modules: Message-Passing (MP) and Distributed Shared Memory (DSM). ClusterSim supports the visual modeling and the simulation of clusters and their workloads for performance analysis. A modeled cluster is composed of single or multi-processed nodes, parallel job schedulers, network topologies, message-passing communications, distributed shared memory and technologies. A modeled workload is represented by users that submit jobs composed of tasks described by probability distributions and their internal structure (CPU, I/O, DSM and MPI instructions). Our main objectives in this paper are: to present a new version of ClusterSim with the inclusion of Message-Passing and Distributed Shared Memory simulation modules; to present the new software architecture and simulation model; to verify the proposal and implementation of MPI collective communication functions using different communication patterns (Message-Passing Module); to verify the proposal and implementation of DSM operations, consistency models and coherence protocols for object sharing (Distributed Shared Memory Module); to analyze ClusterSim v. 1.1 by means of two case studies. Our main contributions are the inclusion of the Message-Passing and Distributed Shared Memory simulation modules, a more detailed simulation model of ClusterSim and new features in the graphical environment. © 2005 by International Federation for Information Processing.

Cite

CITATION STYLE

APA

Pousa, C., Ramos, L. E., Góes, L. F., & Martins, C. A. (2005). Extending ClusterSim with MP and DSM modules. In IFIP Advances in Information and Communication Technology (Vol. 172, pp. 59–78). Springer New York LLC. https://doi.org/10.1007/0-387-24049-7_4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free