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Special Issue on the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 2017)

机译:第八届高性能计算系统性能建模,基准测试和仿真国际研讨会(PMBS 2017)特刊

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摘要

This volume contains the 13 papers that were presented at the 8th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computing Systems (PMBS 2017), which was held as part of the 29th ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2017) at the Colorado Convention Centre in Denver between 12-17 November 2017. SC offers a vibrant technical program, which includes technical papers, tutorials in advanced areas, Birds of a Feather sessions (BoFs), panel debates, a doctoral showcase, and a number of technical workshops in specialist areas (of which PMBS is one). The focus of PMBS is comparing high performance computing systems through performance modeling, benchmarking, or the use of tools such as simulators. Contributions are sought in areas including: performance modeling and analysis of applications and high performance computing systems; novel techniques and tools for performance evaluation and prediction; advanced simulation techniques and tools; micro-benchmarking, application benchmarking, and tracing; performance-driven code optimization and scalability analysis; verification and validation of performance models; benchmarking and performance analysis of novel hardware; performance concerns in software/hardware co-design; tuning and auto-tuning of HPC applications and algorithms; benchmark suites; performance visualization; real-world case studies; studies of novel hardware such as Intel's Knights Landing platform and NVIDIA Pascal GPUs.
机译:本卷包含13篇论文,这些论文在第29届ACM / IEEE国际高性能计算国际会议的一部分举行的第八届高性能计算系统性能建模,基准测试和仿真国际研讨会(PMBS 2017)上发表,于2017年11月12日至17日在丹佛市科罗拉多会议中心举行的网络,存储和分析(SC 2017)。SC提供了一个充满活力的技术计划,其中包括技术论文,高级领域的教程,羽毛之鸟课程(BoFs),小组辩论,博士展示,以及在专业领域的许多技术研讨会(其中PMBS是其中之一)。 PMBS的重点是通过性能建模,基准测试或使用诸如模拟器之类的工具来比较高性能计算系统。在以下领域寻求贡献:性能建模和对应用程序以及高性能计算系统的分析;用于绩效评估和预测的新颖技术和工具;先进的仿真技术和工具;微观基准测试,应用基准测试和跟踪;性能驱动的代码优化和可伸缩性分析;绩效模型的验证和确认;新硬件的基准测试和性能分析;软件/硬件协同设计中的性能问题;调整和自动调整HPC应用程序和算法;基准套件;绩效可视化;实际案例研究;研究新型硬件,例如英特尔的Knights Landing平台和NVIDIA Pascal GPU。

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