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Performance Scalability of Data-Mining Workloads in Bioinformatics

Source: Intel
Date: January 2008
Type: White Paper
Rating: (0)

Overview: Bioinformatics is one of the most active research areas in computer science and it relies heavily on many types of data-mining techniques. Data mining is the extraction of hidden predictive information from large data bases. Emerging data mining applications are important factors to drive the architecture of future microprocessors. This white paper analyzes the performance scalability on parallel architectures of such applications to understand how to best architect the next generation of microprocessors that will have many CPU cores on chip.


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