A Distributed Shared Memory System with Self-Adjusting Coherence Scheme

The performance of distributed shared memory depends on the memory coherence algorithms and the access characteristics of shared data. In this paper, we propose an eecient coherence scheme using multiple coherence algorithms with self-adjusting feature. Our method can dynamically choose a more adaptive coherence algorithm for each variable class and the incorrect classiication of shared variables will not aaect the performance. We show that for each xed classiication, application programs suuer 5.1%, 4.6%, and 48.9% increases in the average execution time, when compared against the performance of a self-adjusting scheme. Experiments have shown our approach achieving good performance.