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Model-Based Performance Prediction for Concurrent Software on Multicore Architectures
Markus Kilian Frank
2022
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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.
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Keywords
- Computer science
- Computing & information technology
- Mathematical theory of computation
- Maths for computer scientists
- Model-based Performance Prediction
- Modellbasierte Performancevorhersage
- Multicore architectures
- Multicore-Architekturen
- Parallel Design Patterns
- parallele Entwurfsmuster
- Software engineering
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
Links
DOI: 10.5445/KSP/1000139935Editions