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Measurement-based characterization of global memory and network contention, operating system and parallelisation overheads: case study on a shared-memory multiprocessor

机译:基于测量的全局内存和网络争用,操作系统和并行化开销的表征:共享内存多处理器的案例研究

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Presents a characterization of (1) the global memory and interconnection network contention overhead, (2) the operating system overheads, and (3) the runtime system parallelization overheads for the Cedar shared-memory multiprocessor. The measurements were obtained using five representative compute-intensive, scientific, loop parallel applications from the Perfect Benchmark Suite. The overheads were measured for a range of Cedar configurations from 1 processor to the full 4-cluster/32-processor configuration, thus characterizing the effect of this scaling on the overheads. For the full 4-cluster Cedar, the operating system overhead was found to constitute 5-21%: of the total completion time of an application. The parallelization overhead accounts for 10-25% of the application, completion time and the overhead due to global memory and network contention contributes 8-21% of the application completion time.
机译:呈现以下特征:(1)全局内存和互连网络争用开销;(2)操作系统开销;(3)Cedar共享内存多处理器的运行时系统并行开销。测量是使用Perfect Benchmark Suite的五个代表性的计算密集型,科学的循环并行应用程序获得的。测量了从1个处理器到完整的4群集/ 32处理器配置的一系列Cedar配置的开销,从而表征了这种扩展对开销的影响。对于完整的4群集Cedar,发现操作系统开销占应用程序总完成时间的5-21%。并行化开销占应用程序完成时间的10-25%,而由于全局内存和网络争用导致的开销占应用程序完成时间的8-21%。

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