Parallel Performance Engineering using Score-P and Vampir

William Williams, H. Brunst
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Abstract

This tutorial will introduce participants to the Score-P measurement system and the Vampir trace visualization tool for performance analysis. We will provide examples and hands-on exercises covering the full performance engineering workflow cycle on applications that include MPI, OpenMP, and GPU parallelism. Users will learn the following concepts: 1. How to collect an initial profile of their code with Score-P. 2. Evaluation of that profile and its associated measurement overhead. 3. The concepts of scoring and filtering a profile and measurement respectively. 4. How to control the Score-P measurement system via environment variables. 5. How to collect useful traces with acceptable overhead. 6. How to understand trace visualization in Vampir.
使用Score-P和吸血鬼的并行性能工程
本教程将向参与者介绍Score-P测量系统和用于性能分析的吸血鬼跟踪可视化工具。我们将提供示例和实践练习,涵盖应用程序的完整性能工程工作流程周期,包括MPI, OpenMP和GPU并行性。用户将学习以下概念:如何用Score-P收集他们代码的初始配置文件。2. 评估该概要文件及其相关的度量开销。3.分别对概要文件和度量进行评分和过滤的概念。4. 如何通过环境变量控制Score-P测量系统。5. 如何以可接受的开销收集有用的跟踪。6. 如何理解在吸血鬼跟踪可视化。
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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