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Many distributed graph processing frameworks have emerged for helping doing large scale data analysis for many applications including social network and data mining. The existing frameworks usually focus on the system scalability without consideration of local computing performance. We have observed two locality issues which greatly influence the local computing performance in existing systems. One...
Three Dimensional (3D) printing technologies fabricate objects layer by layer. Complex parts, which are difficult to produce by using subtractive manufacture methods, can be created by using these technologies. In a 3D printing process, the digital geometrical description of the target model has to be converted into machine codes to direct the printer to manufacture the model. Since the machine codes...
As energy efficiency has become a primary concern, system designers have greater need for a flexible and highly accurate power estimation method for evaluating different architecture options. Since memory is an increasingly dominant power consumer, we reexamine existing memory power models and propose a highly efficient microcomponent-based approach with data-aware refinement for accurate system-level...
In this paper, we propose a non-symmetry and anti-packing image representation model (NAM). NAM is a hierarchical image representation method and its aim is less data amount and faster operation. By taking a rectangle sub-pattern for example, we describe the idea of NAM. In this work, based on block-wise LS linear predictor method, a gray-coded bit-plane binary image NAM representation method is presented...
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