CAJ | 학술논문

　　设计了一种混合并行XML解析方法。该方法由轻量级事件划分、事件级并行解析和后处理三阶段组成。使用 SIMD 指令来加速事件划分。阶段级处理使用软件流水线并行技术。同时使用了事件级数据并行技术和流水线并行技术，所以该方法是一种混合并行方法。与其他方法相比，该方法具有高效并行解析和低通信开销的优势。在基于8核Intel Xeon X7560 CPU、Linux操作系统机器上的测试结果表明，与现有其他方法相比，该方法能够达到更高的加速以及更好的可扩展性。
　　설계료일충혼합병행XML해석방법。해방법유경량급사건화분、사건급병행해석화후처리삼계단조성。사용 SIMD 지령래가속사건화분。계단급처리사용연건류수선병행기술。동시사용료사건급수거병행기술화류수선병행기술，소이해방법시일충혼합병행방법。여기타방법상비，해방법구유고효병행해석화저통신개소적우세。재기우8핵Intel Xeon X7560 CPU、Linux조작계통궤기상적측시결과표명，여현유기타방법상비，해방법능구체도경고적가속이급경호적가확전성。
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.