Titlebook: Systematic Methodology for Real-Time Cost-Effective Mapping of Dynamic Concurrent Task-Based Systems; Zhe Ma,Pol Marchal,Francky Catthoor

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System Model and Work Flow, dynamic and concurrent tasks on multiple processors for real-time embedded systems, where energy consumption is often a major concern. The cornerstone of this methodology is a well-balanced two-phase scheduling method, which provides the required flexibility at a low run-time overhead. The rational

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Basic Design-Time Scheduling,. has different meanings in different contexts. In this chapter, scheduling has two meanings. First, assigning every thread node of a given TF to one of the processors of a given platform. Second, deciding the start time to execute every node on its assigned processor. We have two assumptions for th

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Run-Time Software Multithreading,mostly focused on the topic of how to schedule both existing TF and new TF together such that all (hard and/or soft) real-time constraints are met. However, today’s portable embedded systems do not only require a schedule that can fulfill the timing constraints, they also need a run-time scheduler t

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Handling of Task-Level Data Communication and Storage,applications [37, 165, 243]. Because the memory subsystem is that important to embedded systems, several architectural extensions and dedicated compilation techniques have been proposed to optimize it (see [20, 37, 165, 243] for good overviews). Unfortunately, the current techniques are mostly limit

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Demonstration on Heterogeneous Multiprocessor SoCs, processors which provide not only a better performance due to the parallelism offered by the underlying platform, but also an extremely high-energy efficiency compared with the conventional single processors. Such energy efficiency is a prerequisite for most ubiquitous high-performance embedded sys

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Conclusions and future research work,nd concurrent tasks onto multiple heterogeneous processors. The principle of this methodology is a two-phase scheduling framework, i.e., the design-time scheduling phase and the run-time scheduling phase. Both a basic (Chapter 4), and a scalable (Chapter 5) design-time scheduling techniques are desc