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Pipelined Multithreading with Clustered Communication on Commodity Multi-Core Processors

机译:商品多核处理器上具有集群通信的流水线多线程

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Recently proposed pipelined multithreading (PMT) techniques have shown great applicability to parallelizing general programs on multi-core processors. However, significant inter-core communication overheads limit the potential performance and prevent the commercial use. To handle this problem, this paper proposes a novel clustered pipelined multithreading (CPMT) technique, which utilizes a clustered communication mechanism to minimize the communication overheads from the average standpoint. We quantitatively demonstrate the CPMT performance can be improved through reducing average communication overheads and show its performance characteristics. The CPMT technique is evaluated on the AMD Phenom four-core processor, and experimental results show this technique has achieved speedup ranging from 116.8% to 219.8% on some typical SPEC CPU 2000 benchmark loops.
机译:最近提出的流水线多线程(PMT)技术在并行化多核处理器上的通用程序方面显示出极大的适用性。但是,大量的内核间通信开销限制了潜在的性能,并阻止了商业用途。为了解决这个问题,本文提出了一种新颖的集群流水线多线程(CPMT)技术,该技术利用集群通信机制从平均的角度来最小化通信开销。我们定量证明了CPMT性能可以通过减少平均通信开销来提高,并显示其性能特征。 CPMT技术在AMD Phenom四核处理器上进行了评估,实验结果表明,该技术在某些典型的SPEC CPU 2000基准测试循环上已实现116.8%至219.8%的加速。

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