Timothy Hayes

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Database management systems (DBMS) have become an essential tool for industry and research and are often a significant component of data centres. As a result of this criticality, efficient execution of DBMS engines has become an important area of investigation. This work takes a top-down approach to accelerating decision support systems (DSS) on x86-64(More)
In this article, we describe a recent development in the analysis of attrition: using classification and regression trees (CART) and random forest methods to generate inverse sampling weights. These flexible machine learning techniques have the potential to capture complex nonlinear, interactive selection models, yet to our knowledge, their performance in(More)
— Location Aware Sensor Routing (LASeR) protocol is a novel solution to the challenges of routing in mobile wireless sensor networks (MWSNs). It addresses the high reliability and low latency requirements of emerging applications. The protocol uses location information to maintain a gradient field even in highly mobile environments, whilst reducing the(More)
In the low-end mobile processor market, power, energy and area budgets are significantly lower than in the server/desktop/laptop/high-end mobile markets. It has been shown that vector processors are a highly energy-efficient way to increase performance but adding support for them incurs area and power overheads that could not be acceptable for low-end(More)
In the low-end mobile processor market, power, energy and area budgets are significantly lower than in other markets (e.g. servers or high-end mobile markets). It has been shown that vector processors are a highly energy-efficient way to increase performance; however adding support for them incurs area and power overheads that would not be acceptable for(More)
For robust measures of location associated with J dependent groups, various methods have been proposed that are aimed at testing the global hypothesis of a common measure of location applied to the marginal distributions. A criticism of these methods is that they do not deal with outliers in a manner that takes into account the overall structure of the(More)
As the rate of annual data generation grows exponentially, there is a demand to aggregate and summarise vast amounts of information quickly. In the past, frequency scaling was relied upon to push application throughput. Today, Dennard scaling has ceased and further performance must come from exploiting parallelism. Single instruction-multiple data (SIMD)(More)
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