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引用次数: 1

摘要

在大多数科学领域,由于计算科学在很大程度上依赖于数值模拟,现在得到的结果。这反过来又导致底层计算基础设施的规模和复杂性大幅增加。这样的分布式系统及其运行的应用程序的性能评估是一项复杂的任务,可以考虑使用各种方法。本讲座将对分布式系统和应用程序的性能评估方法进行概述:实验、仿真和仿真。它将特别关注SimGrid工具包的主要特性和优势。SimGrid是一个有20多年历史的研究项目,其范围已经从模拟计算网格扩展到P2P系统、云和HPC。它将介绍两个主要的编程api,底层(在)验证模型,并介绍一些基于SimGrid的工具,这些工具目前是可用的
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Performance Evaluation Through Simulation with SimGrid
In most scientific domains, results are now obtained thanks to computational science that heavily relies on numerical simulations. This in turn leads to a tremendous increase in size and complexity of the underlying computing infrastructures. The performance assessment of such distributed systems and the applications they run is then a complex task for which various approaches can be considered. This talk will give a general overview of these approaches for the performance assessment of distributed systems and applications: experimentation, emulation, and simulation. It will specifically focus on the main features and strengths of the SimGrid toolkit. SimGrid is a 20+ year old research project whose scope has broaden over the years from the simulation of computing grids to P2P systems, clouds, and HPC. It will introduce the two main programming APIs, the underlying (in)validated models, and present some of the tools based on SimGrid that are currently available
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Performance Evaluation Through Simulation with SimGrid PERMAVOST'22 Discussion Panel: Domain Scientists vs. Performance Analysis Tools: Advancing in HPC Integrating Visualization (and Visualization Experts) with Performance Analysis An Overhead Analysis of MPI Profiling and Tracing Tools Server-Side Workload Identification for HPC I/O Requests
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