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PrIter: A Distributed Framework for Prioritizing Iterative Computations
IEEE Transactions on Parallel and Distributed Systems
Iterative computations are pervasive among data analysis applications, including Web search, online social network analysis, recommendation systems, and so on. These applications typically involve data sets of massive scale. Fast convergence of the iterative computations on the massive data set is essential for these applications. In this paper, we explore the opportunity for accelerating iterative computations by prioritization. Instead of performing computations on all data points withoutdoi:10.1109/tpds.2012.272 fatcat:kugnwaenfncpxa33lr7ohwia74