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Data compression could ameliorate the I/O pressure of data-intensive scientific applications. Unfortunately, the conventional wisdom of naively applying data compression to the file or block brings the dilemma between efficient random accesses and high compression ratios. File-level compression barely supports efficient random accesses to the compressed data: any retrieval request need trigger the...
This paper describes the architecture and design of Grid OPTICS(TM), a novel software framework for integrating a collection of software tools developed by PNNL's Future Power Grid Initiative (FPGI) into a coherent, powerful operations and planning tool for the power grid of the future. Grid OPTICS(TM) enables plug-and-play of various analysis, modeling and visualization software tools to improve...
Skyline queries, which retrieve the points that are not dominated by any other points in a given dataset, are well recognized as a powerful tool in multi-criteria decision making. Most of the previous works focus on computing skylines on centralized environments typically with one CPU. In this paper, to scale up skyline computation on large datasets, we propose a load balancing parallel skyline query...
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