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Sensitivity of parallel applications to large differences in bandwidth and latency in two--layer interconnects

机译:并行应用程序对两层互连中带宽和等待时间的巨大差异的敏感性

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This paper studies application performance on systems with strongly non-uniform remote memory access. In current generation NUMAs the speed difference between the slowest and fastest link in an interconnect-- the “NUMA gap” --is typically less than an order of magnitude, and many conventional parallel programs achieve good performance. We study how different NUMA gaps influence application performance, up to and including typical wide area latencies and bandwidths. We find that for gaps larger than those of current generation NUMAs, performance suffers considerably (for applications that were designed for a uniform access interconnect). For many applications, however, performance can be greatly improved with comparatively simple changes f traffic over slow links can be reduced by making communication patterns hierarchical --like the interconnect. We find that in four out of our six applications the size of the gap can be increased by an order of magnitude or more without severely impacting speedup. We analyze why the improvements are needed, why they work so well, and how much non--uniformity they can mask.
机译:本文研究了具有强烈不一致的远程内存访问的系统上的应用程序性能。在当前一代的NUMA中,互连中最慢和最快的链路之间的速度差(“ NUMA间隙”)通常小于一个数量级,许多传统的并行程序都可以实现良好的性能。我们研究了不同的NUMA间隙如何影响应用程序性能,直至并包括典型的广域延迟和带宽。我们发现,对于比当前的NUMA更大的间隙,性能会受到严重影响(对于设计用于统一访问互连的应用程序)。但是,对于许多应用程序而言,只需进行相对简单的更改即可大大提高性能;通过使通信模式具有层次结构(如互连),可以减少慢速链接上的流量。我们发现,在六个应用程序中的四个应用程序中,间隙的大小可以增加一个数量级或更多,而不会严重影响加速。我们分析了为什么需要改进,为什么改进如此好以及它们可以掩盖多少不均匀性。

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