Exposing the Locality of Heterogeneous Memory Architectures to HPC Applications

Brice Goglin
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引用次数: 19

Abstract

High-performance computing requires a deep knowledge of the hardware platform to fully exploit its computing power. The performance of data transfer between cores and memory is becoming critical. Therefore locality is a major area of optimization on the road to exascale. Indeed, tasks and data have to be carefully distributed on the computing and memory resources. We discuss the current way to expose processor and memory locality information in the Linux kernel and in user-space libraries such as the hwloc software project. The current de facto standard structural modeling of the platform as the tree is not perfect, but it offers a good compromise between precision and convenience for HPC runtimes. We present an in-depth study of the software view of the upcoming Intel Knights Landing processor. Its memory locality cannot be properly exposed to user-space applications without a significant rework of the current software stack. We propose an extension of the current hierarchical platform model in hwloc. It correctly exposes new heterogeneous architectures with high-bandwidth or non-volatile memories to applications, while still being convenient for affinity-aware HPC runtimes.
向高性能计算应用程序展示异构内存架构的局部性
高性能计算需要对硬件平台有深入的了解,才能充分利用其计算能力。核心和内存之间的数据传输性能变得越来越重要。因此,局部性是百亿亿次优化的一个主要领域。实际上,任务和数据必须小心地分布在计算和内存资源上。我们将讨论当前在Linux内核和用户空间库(如hwloc软件项目)中公开处理器和内存位置信息的方法。目前作为树的平台事实上的标准结构建模并不完美,但它为HPC运行时提供了精度和便利性之间的良好折衷。我们提出了一个深入的研究即将到来的英特尔骑士登陆处理器的软件视图。如果不对当前软件堆栈进行重大修改,它的内存位置就不能正确地暴露给用户空间应用程序。我们提出了在hwloc中对现有分层平台模型的扩展。它正确地向应用程序公开了具有高带宽或非易失性存储器的新的异构体系结构,同时仍然方便于亲和性感知的HPC运行时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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