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This paper highlights the results obtained by designing a prediction model aimed at estimating the enrolment of students per subject in an institution of higher education from Mexico. To perform the estimation, the system dynamics technique was applied using software VenSim, version 7.2a. The model evaluated the period from August to December 2018 to forecast three subjects: Linear Algebra (AL), Applied Linear Programming (PLA) and Networks and Simulation (RYS). The model included the following variables: number of classrooms and teachers available; number of students who failed and passed in ordinary and extraordinary term; rate of student desertion. The main results showed a prediction accuracy percentage of 97% for AL, 89% for PLA and 97% for RYS. The prognostic error represented 3.4 groups in contrast to the prediction certainty of 72.3 groups. This research provides a model to forecast reliable data for decision making in order to optimize resources.

Abstract. To evaluate the communication capabilities of clusters, we must take into account not only the interconnection network but also the system software. In this paper, we evaluate the communication capabilities of a cluster based on dual-Opteron SMP nodes interconnected with QsNet II . In particular, we study the raw network performance, the ability of MPI to overlap computation and communication, and the appropriateness of the local operating systems to support parallel processing. Experimental results show a stable system with a really efficient communication subsystem which is able to deliver 875 MB/s unidirectional bandwidth, 1.6 µsec unidirectional latency, and up to 99.5% CPU availability while communication is in progress.