本文主要讨论分布式存储环境下并行计算的最佳数据分配方案。

The paper discusses the optimal data distribution scheme for distributed environments.

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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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目录服务提供了在分布式环境中存储和检索信息的一种方法，比如序列化对象。

Directory services provide a way to store and retrieve information, such as serializable objects, in a distributed environment.

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