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Modeling and Implementation of an Asynchronous Approach to Integrating HPC and Big Data Analysis 1
2016
Procedia Computer Science
With the emergence of exascale computing and big data analytics, many important scientific applications require the integration of computationally intensive modeling and simulation with data-intensive analysis to accelerate scientific discovery. In this paper, we create an analytical model to steer the optimization of the end-to-end time-to-solution for the integrated computation and data analysis. We also design and develop an intelligent data broker to efficiently intertwine the computation
doi:10.1016/j.procs.2016.05.297
fatcat:fmbsrcvzl5eczemskzvhxhuhwm