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Ordering for Hypothesis Testing and Beyond


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In this project, we have developed novel distributed processing approaches which can reduce the number of required communications in many applications. The distributed processing approaches that are popular with the research community require a very large number of communications and this has a number of disadvantages. The Army has many applications which employ wireless communications between battery powered nodes. In these applications, communications are typically one of the largest sources of energy usage. Thus, these excessive communications tend to drain the batteries and this can have serious negative impact on battlefield superiority. On the other hand, the latency for typical computing units to send data over a standard wired network connection is around 2500 times larger than that for accessing data in its own main memory. Thus reducing the number of communications can provide much faster results. This project seeks to develop methods which would allow the number of communications to be dramatically reduced with no significant loss in performance when compared to the performance of the best full-communication approaches.



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