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-#PE2.3-I I/O Performance
-**Maintainer: Sebastian Oeste, ZIH Team @ TU Dresde**
-n
-# Background
-There are several metrics to assess the I/O performance of parallel
-applications, from numerical metrics like bandwidth and IOPS to access pattern characterization.
-The assessment of such metrics needs knowledge about the underlying hardware capacities but also about the I/O behavior of the application itself.
-There are existing analysis tools to extract I/O performance metrics from application runs.
-It is critical to know how to use these tools and how to assess the analysis results reported by the tools.
-By knowing which metrics affect I/O performance, it is possible to work out optimization strategies for applications I/O behavior and configuration settings of the used file systems.
-# Aim
-* Assess metrics of I/O performance with regard to bandwidth, IOPS, latency, access pattern and file layout.
-* Enable practioners to use tools for I/O performance analysis and characterization.
-* Identify optimization strategies to improve I/O perfromance.
-# Outcomes
-* Understand metrics that describe relevant I/O performance characteristics.
-* Select tools to analyze I/O performance of applications.
-* Apply the performance analysis tools to applications and workflows.
-* Interpret the results of I/O analysis tools and distill optimization strategies for the application or system configurations.
-# Subskills