Abstract
This paper presents a hybrid parallel method for XML parsing,which consists of a lightweight events partition stage,followed by an event-level parallel parsing stage,and a final post-processing stage.SIMD instructions are used to speed up the processing in the events partition stage.Software pipelined processing is achieved at stage level.The study combined event-level data parallel parsing technique and pipelined processing technique to create a hybrid parallel method.Compared to other parallel solutions,the method has the advantage of a much more efficient parallel processing with low synchronization overhead.The method is tested on a Linux machine with Intel Xeon X7560 CPU for 8 cores,and the results show the method can achieve a much higher speed up and better scalability than other software implementations done to date.
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