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Optimisng parallel logic programming systems for scalable machines

机译:优化可扩展机器的并行逻辑编程系统

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Parallel logic programmign (PLP) systems have obtianed good performance on traditional bus-based shared-memory architectures.However,the scalable multiprocessors,being devleoped today pose new challenges.our experience with a sophisticated PLP system,Andorra-I,demonstrates that inded performance suffers greatly on modern architercures.In order to imporver perforance,we performm a detailed analysis of the cache beahivour of all Andorra-I data structures via execution driven simulation of a DASH-like multiprocessor.Based on this anlysis we optimise the Andorra-I code using 5 different techniques.Our results show that the techniques provide signhificant performance imporvements,leading to the conclusion that PLP systems can and should perform well on modern scalabel multiprocessors.
机译:并行逻辑编程(PLP)系统在传统的基于总线的共享内存体系结构上获得了良好的性能。然而,如今正在发展的可扩展多处理器带来了新的挑战。我们在复杂的PLP系统Andorra-I上的经验证明了性能为了改善性能,我们通过对类似DASH的多处理器执行驱动的模拟,对所有Andorra-I数据结构的缓存性能进行了详细分析。基于此分析,我们优化了Andorra-I代码使用5种不同的技术。我们的结果表明,这些技术提供了显着的性能改进,从而得出结论,即PLP系统可以并且应该在现代scalabel多处理器上表现良好。

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