针对测井数据处理系统中交互数据检索速度慢等一系列问题,提出一个专用分布式并行模型。
In order to deal with the problems including slow interactive data retrieval and so on, a special distributed and parallel model was given for logging data processing systems.
基于微机群集,构建了一个实际的分布式并行处理系统。
Based on microcomputer cluster, a realistic distributed parallel system is constructed.
大规模并行处理系统(MPP)和PC机群为并行求解矩阵广义特征值问题提供了分布式存储环境。
Massively parallel Processing system (MPP) and PC cluster provide distributed-memory environments for parallel solving the generalized eigenvalue problem.
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