Using Available Remote Memory Dynamically for Parallel Data Mining Application on ATM-Connected PC Cluster
نویسندگان
چکیده
Personal computer/Workstation (PC/WS) clusters are promising candidates for future high performance computers, because of their good scalability and cost performance ratio. Data intensive applications, such as data mining and ad hoc query processing in databases, are considered very important for massively parallel processors, as well as conventional scientific calculations. Thus, investigating the feasibility of data intensive applications on a PC cluster is
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Parallel Data Mining on ATM-Connected PC Cluster and Optimization of Its Execution Environments
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