Visualizing systems and software performance - Report on the GI-Dagstuhl seminar for young researchers, July 9-13, 2018

Fabian Beck, Alexandre Bergel, C. Bezemer, Katherine E. Isaacs
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引用次数: 1

Abstract

This GI-Dagstuhl seminar addressed the problem of visualizing performance-related data of systems and the software that they run. Due to the scale of performance-related data and the open-ended nature of analyzing it, visualization is often the only feasible way to comprehend, improve, and debug the performance behaviour of systems. The rise of cloud and big data systems, and the rapidly growing scale of the performance-related data that they generate, have led to an increased need for visualization of such data. However, the research communities behind data visualization, performance engineering, and high-performance computing are largely disjunct. The goal of this seminar was to bring together young researchers from these research areas to identify cross-community collaboration and to set the path for long-lasting collaborations towards rich and effective visualizations of performance-related data.
可视化系统和软件性能——GI-Dagstuhl青年研究人员研讨会报告,2018年7月9日至13日
GI-Dagstuhl研讨会讨论了可视化系统及其运行的软件的性能相关数据的问题。由于性能相关数据的规模和分析数据的开放性,可视化通常是理解、改进和调试系统性能行为的唯一可行方法。云和大数据系统的兴起,以及它们产生的与性能相关的数据规模的迅速增长,导致对这些数据的可视化需求不断增加。然而,数据可视化、性能工程和高性能计算背后的研究社区在很大程度上是脱节的。本次研讨会的目标是将这些研究领域的年轻研究人员聚集在一起,确定跨社区合作,并为长期合作制定道路,以实现与性能相关的数据的丰富和有效的可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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