欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
Gzip无损压缩算法。尽管gzip算法能够取得很好的压缩比，但它在分析和压缩编码的过程需要进行大量的计算。为了缩短压缩时间，提出了一种基于共享存储的并行压缩策略。采用OpenMP标准和“生产者／消费者”模型实现了gzip的并行压缩版本。在Beowulf集群中的一个SMP节点（双CPU）和曙光天阔服务器（4路双核）上的测试表明，并行化的gzip程序取得了极大的性能提升，尤其是大文件的压缩。
英文摘要：
Although the gzip algorithm can achieve very good compression, it requires a great deal of time to analyze and encode data into a smaller form. To solve this problem, a parallel compression policy based on producer/consumer model is described and implemented by the OpenMP standard. The performance of the para-llel implementation is compared to the sequential gzip program running on various shared-memory parallel architectures. Experimental data shows that an encouraging speedup is achieved by using the parallel gzip program, especially for large files.
同期刊论文项目
同项目期刊论文
A parallel algorithm with interface prediction and correction for spherical geometric transport equa
期刊信息
位置：