Computer Science ›› 2013, Vol. 40 ›› Issue (3): 95-99.
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Abstract: The ever-growing size and complexity of modern data sets in statistical analysis constantly challenge the capabilities of existing statistical computing methods. High-performance statistical computing is a promising strategy to address these challenges and begins to play an important role in finance, economy, and government and so on where statistical computing is dominant. A survey on state of the art in parallel statistical computing, especially with R and within the last four years was given. Furthermore, special attention on implementations of parallel statistical computing with R under different computer systems in a users’perspective was presented. Lest of synthetic code and real application show effectiveness of these implementations.
Key words: R, Statistical analysis, High performance computing, Parallel statistical computing
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