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Very large scientific datasets are becoming increasingly available in XML formats. The earlier benchmarking results show that parsing XML is a time consuming process when compared with binary formats optimized for large scale documents. This performance bottleneck will get exacerbated as size of XML data increases in e-science applications. The focus in this paper is on addressing this performance bottleneck. In recent times, the microprocessor industry has made rapid strides towards Chip Multi Processors (CMPs).
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