model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf

model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf

Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction model...

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Language:English
Published: KIT Scientific Publishing 2022
Online Access:https://doi.org/10.5445/KSP/1000139935
id oapen-20.500.12657-57634
record_format dspace
spelling oapen-20.500.12657-576342022-07-26T03:24:46Z Model-Based Performance Prediction for Concurrent Software on Multicore Architectures Frank, Markus Kilian Modellbasierte Performancevorhersage; Software Engineering; Multicore-Architekturen; parallele Entwurfsmuster; Model-based Performance Prediction; Multicore architectures; Parallel Design Patterns bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures.We implemented the strategies into Palladio and significantly increased the performance prediction power. 2022-07-25T11:18:35Z 2022-07-25T11:18:35Z 2022 book https://library.oapen.org/handle/20.500.12657/57634 eng The Karlsruhe Series on Software Design and Quality application/pdf Attribution-ShareAlike 4.0 International model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf https://doi.org/10.5445/KSP/1000139935 KIT Scientific Publishing 10.5445/KSP/1000139935 10.5445/KSP/1000139935 44e29711-8d53-496b-85cc-3d10c9469be9 34 400 open access
institution OAPEN
collection DSpace
language English
description Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures.We implemented the strategies into Palladio and significantly increased the performance prediction power.
title model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
spellingShingle model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
title_short model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
title_full model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
title_fullStr model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
title_full_unstemmed model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
title_sort model-based-performance-prediction-for-concurrent-software-on-multicore-architectures-a-simulation-based-approach.pdf
publisher KIT Scientific Publishing
publishDate 2022
url https://doi.org/10.5445/KSP/1000139935
_version_ 1771297566426660864

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