Research on the Testing of MPI Parallel Computing Tasks Based on Cloud Computing Platform
Zhao Wei-bia · Computer Knowledge and Technology · 2014
With the number of the MPI tasks scheduled in the queue rising steadily, to certain tasks, such phenomena will be easi.ly to appear, e.g., waiting long time, being delayed or even denied to service. Utilizing the virtualization, job scheduling and relat.ed technologies in the field of cloud computing can enhance the QoS(Quality of Service) in the MPI server cluster, and the men.tioned problem would be solved to a certain degree. In the experiments, some Geo-spatial MPI parallel tasks, the parallel contour generation algorithm from DEM with MPI, are scheduled by Torque PBS to the different computing platforms respectively, i.e.,the combined platform with cloud computing(OpenStack) and parallel computing, and the traditional parallel computing plat.form. From the simulation tests results, it can be easily found that the combined computing environment has dominant advantag.es than the traditional finally.