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Transparent adaptation of sharing granularity in Multi View-based DSM systems

机译:基于多视图的DSM系统中共享粒度的透明适应

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摘要

In this paper we propose a mechanism that provides distributed shared memory (DSM) systems with a flexible sharing granularity. The size of the shared memory units is dynamically determined by the system during runtime. This size can range from that of a single variable up to the size of the entire shared memory space. During runtime, the DSM transparently adapts the granularity to the memory access pattern of the application in each phase of this execution. This adaptation, called Composed View, provides efficient data sharing in software DSM while preserving sequential consistency.
机译:在本文中,我们提出了一种机制,可为分布式共享内存(DSM)系统提供灵活的共享粒度。共享内存单元的大小由系统在运行时动态确定。此大小的范围可以从单个变量的大小到整个共享内存空间的大小。在运行时,DSM在此执行的每个阶段透明地使粒度适应应用程序的内存访问模式。这种称为“组合视图”的改编可在软件DSM中提供有效的数据共享,同时保持顺序一致性。

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