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Understanding how off-chip memory bandwidth partitioning in Chip Multiprocessors affects system performance

机译:了解片上多处理器中的片外存储器带宽分区如何影响系统性能

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Chip Multi-Processor (CMP) architectures have recently become a mainstream computing platform. Recent CMPs allow cores to share expensive resources, such as the last level cache and off-chip pin bandwidth. To improve system performance and reduce the performance volatility of individual threads, last level cache and off-chip bandwidth partitioning schemes have been proposed. While how cache partitioning affects system performance is well understood, little is understood regarding how bandwidth partitioning affects system performance, and how bandwidth and cache partitioning interact with one another. In this paper, we propose a simple yet powerful analytical model that gives us an ability to answer several important questions: (1) How does off-chip bandwidth partitioning improve system performance? (2) In what situations the performance improvement is high or low, and what factors determine that? (3) In what way cache and bandwidth partitioning interact, and is the interaction negative or positive? (4) Can a theoretically optimum bandwidth partition be derived, and if so, what factors affect it? We believe understanding the answers to these questions is very valuable to CMP system designers in coming up with strategies to deal with the scarcity of off-chip bandwidth in future CMPs with many cores on a chip.
机译:芯片多处理器(CMP)架构最近已成为主流计算平台。最近的CMP允许内核共享昂贵的资源,例如上一级缓存和片外引脚带宽。为了提高系统性能并减少单个线程的性能波动,已经提出了末级高速缓存和片外带宽分区方案。尽管人们很好地了解了缓存分区如何影响系统性能,但是关于带宽分区如何影响系统性能以及带宽和缓存分区如何相互影响的了解很少。在本文中,我们提出了一个简单而强大的分析模型,该模型使我们能够回答几个重要问题:(1)片外带宽划分如何提高系统性能? (2)在什么情况下性能提升是高还是低,并且由哪些因素决定? (3)缓存和带宽分区以什么方式交互,交互是消极还是积极? (4)可以得出理论上最佳的带宽划分吗?如果是,哪些因素会对其产生影响?我们认为,了解这些问题的答案对于CMP系统设计人员提出解决在芯片上具有多个内核的未来CMP中片外带宽不足的解决方案非常有价值。

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