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Worst-Case Reaction Time Optimization on Deterministic Multi-Core Architectures with Synchronous Languages

机译:具有同步语言的确定性多核体系结构的最坏情况反应时间优化

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In this paper, we propose a new approach for the predictability and optimality of the inter-core communication and execution of tasks allocated on different cores of multicore architectures. Our approach is based on the execution of synchronous programs written in the ForeC programming language on deterministic architectures called PREcision Timed. The originality of the work resides in the time-triggered model of computation and communication that allows for a very precise control over the thread execution. Synchronization is done via configurable Time Division Multiple Access (TDMA) arbitrations where the optimal size and offset of the time slots are computed to reduce the inter-core synchronization costs. We implemented a robotic application and simulated it using MORSE, a robotic simulation environment. Results show that the model we propose guarantees time-predictable inter-core communication, the absence of concurrent accesses (without relying on hardware mechanisms), and allows for optimized execution throughput.
机译:在本文中,我们为内核间通信的可预测性和最优性以及在多核体系结构的不同内核上分配的任务的执行提出了一种新方法。我们的方法基于在称为PREcision Timed的确定性体系结构上执行用ForeC编程语言编写的同步程序。工作的独创性在于时间触发的计算和通信模型,该模型允许对线程执行进行非常精确的控制。同步是通过可配置的时分多址(TDMA)仲裁完成的,在该仲裁中,将计算时隙的最佳大小和偏移量,以减少内核间的同步成本。我们实现了一个机器人应用程序,并使用机器人仿真环境MORSE对它进行了仿真。结果表明,我们提出的模型可以保证时间可预测的内核间通信,不存在并发访问(不依赖硬件机制),并且可以优化执行吞吐量。

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