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Scheduling various data-intensive tasks over the processing units of a server has been a heavily studied but still challenging effort. In order to utilize modern multicore servers well, a good scheduling mechanism has to be conscious of different dimensions of parallelism offered by these servers. This requires being aware of the micro-architectural features of processors, the hardware topology connecting the processing units of a server, and the characteristics of these units as well as the data-intensive tasks. The increasing levels of parallelism and heterogeneity in emerging server hardware amplify these challenges in addition to the increasing variety of data-intensive applications.