Wail Y. Alkowaileet

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A novel user-level scheduling, along with a specific data alignment method is presented for matrix multiplication in cache-coherent Non-Uniform Memory Access (ccNUMA) architectures. Addressing the data locality problem that occurs in such systems alleviates memory bottlenecks in problems with large input data sets. It is shown experimentally that a large(More)
Large quantities of raw data are being generated by many different sources in different formats. Private and public sectors alike acclaim the valuable information and insights that can be mined from such data to better understand the dynamics of everyday life, such as traffic, worldwide logistics, and social behavior. For this reason, storing, managing, and(More)
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