The ELIHE High-Performance Cluster

Summary form only given. In this poster, we present our experience in implementing a high performance computing cluster for teaching parallel computing theory and development of parallel applications. In teaching parallel and high performance computing, there is often a gap between potential performance taught in the lectures and those practically experienced in exercises in the laboratory. The development of the ELIHE cluster provides us with an opportunity take a hands on approach in teaching programming environments, tools, and libraries for development of parallel applications, parallel computation, architectures, message passing and shared memory paradigms using MPI and OpenMP, etc, at both undergraduate and graduate level. The ELIHE HP cluster consists of 9 computational nodes and a master node. All the nodes in the cluster are commodity systems - PCs, running commodity software - Linux, and CLIC Mandrake. Creating the ELIHE cluster has fulfilled two important goals: to design and implement a HP cluster for teaching parallel computing architectures in the School of Science and Technology, and to promote the use of high performance computer technology for research to faculty members and students