An SIMD machine must have an interconnection network to pass data between processing elements. We introduce a model of SIMD machines which allows a formal mathematical analysis and comparison of different interconnection networks. Five interconnection networks that have been proposed in the literature are defined in terms of our model. They include a network similar to the one used in the STARA...

 Experience in Extending Query Engine for Continuous Analytics Qiming Chen, Meichun Hsu HP Laboratories HPL-2010-44 In-Database Stream Processing Combining data warehousing and stream processing technologies has great potential in offering low-latency data-intensive analytics. Unfortunately, such convergence has not been properly addressed so far. The current generation of stream processing sy...

Data stream mining is the process of applying data mining methods to a data stream in real-time in order to create descriptive or predictive models. Due to the dynamic nature of data streams, new classes may emerge as a data stream evolves, and the concept being modeled may change with time. This gives rise to the need to continuously make revisions to the predictive model. Revising the predict...