Soren: Adaptive MapReduce for Programmable GPUs

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Provided by: Shiraz Technologies
Topic: Hardware
Format: PDF
In recent years the MapReduce programming model has been widely used for developing parallel data-intensive applications. As a result of its popularity, there exist many implementations of the MapReduce model on different parallel architectures including on massively parallel programmable GPUs. A basic challenge in implementing a MapReduce runtime system is the wide diversity of applications developed based on the model. That means a fixed implementation of the MapReduce run-time system may become suboptimal for some classes of applications.
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