HCLogP: um modelo computacional para clusters heterogêneos

Abstract

The LogP model was proposed in 1993 to measure the effects of communication latency, processor occupancy and bandwidth in distributed memory multiprocessors. The idea was to characterize distributed memory multiprocessor using these key parameters and study their impact on performance in simulation environments. This work proposes a new model, based on LogP, that describes the impacts on performance of regular applications executing on a heterogeneous cluster. The model considers that a heterogeneous cluster is composed of distinct types of processors, accelerators and networks. The results show that the worst error in the estimations of the parallel execution time was about 19,2%, and, in many cases, the estimated execution time is equal to or very close to the real one. In addition, based on this model, a scheduler was developed. Based on the applications and computational environment characteristics, the scheduler chooses the subset of processors, accelerators and networks that minimize the parallel execution time. For applications with different behaviors, the scheduler successfully chose the best configuration.