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XML has seen wide acceptance in a number of application domains, and contributed to the success of wide-scale grid and scientific computing environments. Performance, however, is still an issue, and limits adoption under some situations where it might otherwise be able to provide significant interoperability, flexibility, and extensibility. As CPUs increasingly have multiple cores, parallel XML parsing...
XML has been widely adopted across a wide spectrum of applications. Its parsing efficiency, however, remains a concern, and can be a bottleneck. At the same time, with the trend towards multicore CPUs, parallelization to improve performance has become increasingly relevant. In previous work, we have investigated parallelizing DOM-style parsing and gained significant speedup. For streaming XML applications,...
Though XML has gained significant acceptance in a number of application domains, XML parsing can still be a vexing performance bottleneck. With the growing prevalence of multicore CPUs, parallel XML parsing could be one option for addressing this bottleneck. Achieving data parallelism by dividing the XML document into chunks and then independently processing all chunks in parallel is difficult, however,...
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