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Real-time specific goals:
After completing this course successfully, the student:
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can apply the theory of real-time multiprocessor systems to real-life systems and applications
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has an overview of existing analysis techniques and is aware of their fundamental limitations concerning the hardware architectures and the applications characteristics
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has hands-on experience with scheduling and mapping of real-time applications on a multi-processor system on chip (MPSoC)
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is at a level to conduct research in the field of real-time multiprocessor systems design and analysis
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Real-time systems 2 deals with the design and analysis of real-time multiprocessor systems. Unlike real-time systems 1, the focus is on end-2-end throughput and latency analysis of applications running on MULTI-processor systems. The course consist of lectures, some small experiments and a large assignment in which the theory will be applied given a real-life embedded multicore system. The focus of the lectures is on dataflow analysis techniques and how these dataflow analysis techniques related and compare to other end-2-end analysis techniques. The presented techniques are not only useful for analysis of the system but also for the computation of a mapping and the optimization of applications such that real-time constraints are satisfied. The presented techniques are intended for real-time stream processing applications as found in radios, radar, and video processing systems, and industrial control systems.
Prerequisites:
- Basic knowledge of C-programming and operating systems
- Basic mathematical knowledge of linear algebra and discrete mathematic
- Basic knowledge of signal processing algorithms
- Basic knowledge of multiprocessor hardware
- Fundamentals, methods and techniques as applied in Real-Time Systems. This is presented in the coarse Real-time systems 1 (192130200).
Content: real-time multiprocessor analysis techniques with the focus on dataflow analysis and on fundamental limitations.
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