Yasmin

Rouxel, Benjamin; Altmeyer, Sebastian; Grelck, Clemens

doi:10.1145/3464298.3493402

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…In addition to generating object files for the input program, the multi-objective optimising compiler generates a file containing all the ETS properties extracted during compilation. Coupled with the information extracted from the source code, this enables the coordination layer [13] to validate the schedule and generate the necessary glue code for the initialisation, configuration, and runtime management of the tasks [14].…”

Section: A the Teamplay Methodology For Predictable Architecturesmentioning

confidence: 99%

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)

2023

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Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important for the programming of Cyber-Physical Systems (CPS). This paper describes TeamPlay, a research project funded under the EU Horizon 2020 programme between January 2018 and June 2021. TeamPlay aimed to provide the system designer with a toolchain for developing embedded applications where ETS properties are first-class citizens, allowing the developer to reflect directly on energy, time and security properties at the source code level. In this paper we give an overview of the TeamPlay methodology, introduce the challenges and solutions of our approach and summarise the results achieved. Overall, applying our TeamPlay methodology led to an improvement of up to 18% performance and 52% energy usage over traditional approaches.

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Section: A the Teamplay Methodology For Predictable Architecturesmentioning

confidence: 99%

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)

2023

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“…For example, this is the case of the event-driven, delay-induced (EDD) task model introduced in [6], where an analysis technique for this kind of models was introduced, when preemptive priority-based scheduling is used for software tasks, and validated through experimental results. Some authors proposed middleware solutions [61,62] to deal with the complexity of configuring schedulers for real-time applications on heterogeneous platforms, exposing higher-level or more abstract and easy-to-use interfaces to application developers.…”

Section: Related Workmentioning

confidence: 99%

Multi-criteria Optimization of Real-time DAGs on Heterogeneous Platforms under P-EDF

Cucinotta

Amory

Ara

et al. 2024

ACM Trans. Embed. Comput. Syst.

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This paper tackles the problem of optimal placement of complex real-time embedded applications on heterogeneous platforms. Applications are composed of directed acyclic graphs of tasks, with each DAG having a minimum inter-arrival period for its activation requests, and an end-to-end deadline within which all of the computations need to terminate since each activation. The platforms of interest are heterogeneous power-aware multi-core platforms with DVFS capabilities, including big.LITTLE Arm architectures, and platforms with GPU or FPGA hardware accelerators with Dynamic Partial Reconfiguration capabilities. Tasks can be deployed on CPUs using partitioned EDF-based scheduling. Additionally, some of the tasks may have an alternate implementation available for one of the accelerators on the target platform, which are assumed to serve requests in non-preemptive FIFO order. The system can be optimized by: minimizing power consumption, respecting precise timing constraints; maximizing the applications’ slack, respecting given power consumption constraints; or even a combination of these, in a multi-objective formulation. We propose an off-line optimization of the mentioned problem based on mixed-integer quadratic constraint programming (MIQCP). The optimization provides the DVFS configuration of all the CPUs (or accelerators) capable of frequency switching and the placement to be followed by each task in the DAGs, including the software-vs-hardware implementation choice for tasks that can be hardware-accelerated. For relatively big problems, we developed heuristic solvers capable of providing suboptimal solutions in a significantly reduced time compared to the MIQCP strategy, thus widening the applicability of the proposed framework. We validate the approach by running a set of randomly generated DAGs on Linux under SCHED_DEADLINE, deployed onto two real boards, one with Arm big.LITTLE architecture, the other with FPGA acceleration, verifying that the experimental runs meet the theoretical expectations in terms of timing and power optimization goals.

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The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems

Rouxel,

Brown,

Ebeid

et al. 2023

2023 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

Self Cite

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Non-functional properties, such as energy, time, and security (ETS) are becoming increasingly important in Cyber-Physical Systems (CPS) programming. This article describes TeamPlay, a research project funded under the EU Horizon 2020 programme between January 2018 and June 2021. TeamPlay aimed to provide the system designer with a toolchain for developing embedded applications where ETS properties are first-class citizens, allowing the developer to reflect directly on energy, time and security properties at the source code level. In this paper we give an overview of the TeamPlay methodology, introduce the challenges and solutions of our approach and summarise the results achieved. Overall, applying our TeamPlay methodology led to an improvement of up to 18% performance and 52% energy usage over traditional approaches.

show abstract

Yasmin

Cited by 3 publications

References 31 publications

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Multi-criteria Optimization of Real-time DAGs on Heterogeneous Platforms under P-EDF

The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems

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