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Reevaluating Amdahl's law in the multicore era

机译:重新评估多核时代的阿姆达尔定律

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Microprocessor architecture has entered the multicore era. Recently, Hill and Marty presented a pessimistic view of multicore scalability. Their analysis was based on Amdahl's law (i.e. fixed-workload condition) and challenged readers to develop better models. In this study, we analyze multicore scalability under fixed-time and memory-bound conditions and from the data access (memory wall) perspective. We use the same hardware cost model of multicore chips used by Hill and Marty, but achieve very different and more optimistic performance models. These models show that there is no inherent, immovable upper bound on the scalability of multicore architectures. These results complement existing studies and demonstrate that multicore architectures are capable of extensive scalability.
机译:微处理器架构已进入多核时代。最近,Hill和Marty提出了对多核可伸缩性的悲观看法。他们的分析基于阿姆达尔定律(即固定工作量条件),并要求读者开发更好的模型。在本研究中,我们从数据访问(内存墙)的角度分析了固定时间和内存受限条件下的多核可伸缩性。我们使用Hill和Marty使用的多核芯片的硬件成本模型相同,但是实现了截然不同且更为乐观的性能模型。这些模型表明,多核体系结构的可伸缩性没有固有的,不可移动的上限。这些结果补充了现有研究,并证明了多核体系结构具有广泛的可扩展性。

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