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Towards the Automated Generation of Hard Disk Models through Physical Geometry Discovery

机译:通过物理几何发现对硬盘模型的自动生成

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As the High Performance Computing industry moves towards the exascale era of computing, parallel scientific and engineering applications are becoming increasingly complex. The use of simulation allows us to predict how an application's performance will change with the adoption of new hardware or software, helping to inform procurement decisions. In this paper, we present a disk simulator designed to predict the performance of read and write operations to a single hard disk drive (HDD). Our simulator uses a geometry discovery benchmark (Diskovery) in order to estimate the data layout of the HDD, as well as the time spent moving the read/write head. We validate our simulator against two different HDDs, using a benchmark designed to simulate common disk read and write patterns, demonstrating accuracy to within 5% of the observed I/O time for sequential operations, and to within 10% of the observed time for seek-heavy workloads.
机译:随着高性能计算行业走向ExaScale的计算时代,并行科学和工程应用变得越来越复杂。使用模拟允许我们预测应用程序的性能如何随着新硬件或软件而有助于通知采购决策。在本文中,我们介绍了一个磁盘模拟器,旨在预测读写操作的性能,对单个硬盘驱动器(HDD)。我们的模拟器使用几何发现基准(Diskovery)来估计HDD的数据布局,以及花费读/写头的时间。我们使用旨在模拟普通磁盘读写模式的基准测试我们的模拟器,以模拟常见的磁盘读取和写入模式,以在观察到的I / O时间内的5%内进行顺序操作的准确性,并且在观察时间的10%内寻求的10%以内 - 工作负载。

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