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How many cores do we need to run a parallel workload: A test drive of the Intel SCC platform?

机译:我们需要多少个内核来运行并行工作负载:英特尔SCC平台的测试驱动器?

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As semiconductor manufacturing technology continues to improve, it is possible to integrate more and more transistors onto a single processor. Many-core processor design has resulted in part from the search to utilize this enormous transistor real estate. The Single-Chip Cloud Computer (SCC) is an experimental many-core processor created by Intel Labs. In this paper we present a study in which we analyze this innovative many-core system by running several workloads with distinctive parallelism characteristics. We investigate the effect on system performance by monitoring specific hardware performance counters. Then, we experiment on varying different hardware configuration parameters such as number of cores, clock frequency and voltage levels. We execute the chosen workloads and collect the timing, power consumption and energy consumption information on such a many-core research platform. Thus, we can comprehensively analyze the behavior and scalability of the Intel SCC system with the introduced workload in terms of performance and energy consumption. Our results show that the profiled parallel workload execution has a communication bottleneck on the Intel SCC system. Moreover, our results indicate that we should carefully choose the number of cores to execute different workloads in order to yield a balance between execution performance and energy efficiency for different applications.
机译:随着半导体制造技术的不断提高,有可能将越来越多的晶体管集成到单个处理器中。多核处理器设计部分是由于寻求利用这种巨大的晶体管面积而导致的。单芯片云计算机(SCC)是由英特尔实验室创建的实验性多核处理器。在本文中,我们提出了一项研究,其中我们通过运行具有独特并行特性的多个工作负载来分析此创新的多核系统。我们通过监视特定的硬件性能计数器来调查对系统性能的影响。然后,我们尝试改变各种不同的硬件配置参数,例如内核数,时钟频率和电压电平。我们执行选择的工作负载,并在这样一个多核研究平台上收集时间,功耗和能耗信息。因此,我们可以从性能和能耗方面全面分析英特尔SCC系统的行为和可扩展性,以及引入的工作负载。我们的结果表明,概要分析并行工作负载执行在英特尔SCC系统上具有通信瓶颈。此外,我们的结果表明,我们应该谨慎选择执行不同工作负载的内核数量,以便在不同应用程序的执行性能和能效之间取得平衡。

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