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Detailed characterization of a quad Pentium Pro server running TPC-D

机译:运行TPC-D的四核奔腾Pro服务器的详细特性

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While database workloads consume a major fraction of the cycles in today's machines, there are only a few public-domain performance studies that characterize in detail how these workloads exercise the machines. This fact is due to the complexity of setting up and tuning database workloads, the high cost of the equipment required to evaluate them, and the frequent use of proprietary systems. In this paper, we help redress this problem by presenting a detailed performance characterization of the TPC-D benchmark running on a 4-processor Pentium Pro SMP multiprocessor with Windows NT and Microsoft's SQL Server. We use the Pentium Pro built-in hardware event counters and software tools that monitor system activity. Our results show that TPC-D queries have a relatively low CPI. The CPIs, which are 1.27 on average for the 17 read-only queries, are comparable to values observed for technical workloads. The major sources of processor stall cycles are the instruction fetch bottleneck and data misses in the secondary cache. Kernel time is negligible, as queries spend less than 6% of their time on average in the kernel. Other results show that branch prediction is effective in TPC-D and that the exclusive state in the cache tags is largely unnecessary. Finally, we compare our results to the ones published for TPC-C.
机译:尽管数据库工作负载消耗了当今计算机的大部分周期,但只有少数公共领域的性能研究详细描述了这些工作负载如何使用计算机。该事实是由于设置和调整数据库工作负载的复杂性,评估它们所需的设备的高昂成本以及专有系统的频繁使用所致。在本文中,我们将通过详细描述运行在带有Windows NT和Microsoft SQL Server的4处理器Pentium Pro SMP多处理器上的TPC-D基准的性能表征,来帮助解决此问题。我们使用奔腾Pro内置的硬件事件计数器和监视系统活动的软件工具。我们的结果表明,TPC-D查询的CPI相对较低。 17个只读查询的CPI平均为1.27,与观察到的技术工作负载的值相当。处理器停顿周期的主要来源是指令获取瓶颈和辅助高速缓存中的数据丢失。内核时间可以忽略不计,因为查询在内核中平均花费不到其时间的6%。其他结果表明,分支预测在TPC-D中有效,并且缓存标记中的排他状态在很大程度上是不必要的。最后,我们将结果与为TPC-C发布的结果进行比较。

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