A high-precision distributed neural processor for efficient computation of a new distributed FxSMAP-L algorithm applied to real-time active noise control systems

Maya, Xochitl; García, Luis Villalobos; Vázquez, Ángel; Pichardo, Eduardo; Sanchez, Juan-Carlos; Pérez, Héctor; Avalos, Juan-Gerardo; Sánchez, Giovanny

doi:10.1016/j.neucom.2022.11.017

Cited by 8 publications

(1 citation statement)

References 23 publications

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“…Within the domain of electromagnetic transient simulation, centralized methodologies have long been the predominant choice. Yet, the limitations of these centralized models, particularly in terms of scalability, are becoming increasingly evident [8]. The complexity of modern power systems, coupled with the demand for large-scale simulations, is pushing the limits of traditional centralized approaches.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Task Orchestration for Distributed Real-Time Electromagnetic Transient Simulation

Guo,

et al. 2024

IEEE Access

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Transient simulation in power engineering is crucial as it models the dynamic behavior of power systems during sudden events like faults or short circuits. Electromagnetic transient simulations involve multiple coordinated tasks. Traditional simulations are centralized and struggle to meet scalability requirements. To achieve these goals, distributed electromagnetic transient simulation has emerged as a new trend. Nevertheless, the distributed electromagnetic transient simulation introduces network communication. Achieving real-time simulation across distributed nodes poses the challenge of minimizing communication costs.In this paper, our proposal focuses on optimizing the task orchestration to reduce communication costs. Specifically, in the electromagnetic transient simulation, these tasks has certain communication pattern where the communicated objects of each task are pre-defined. We represent the pattern as a graph, with tasks represented as nodes and communications as edges. Furthermore, we propose to use graph partition with the objective of minimal communication costs and fine tune the partitions with the resource requirements of each distributed node. The experimental results demonstrate that our proposal has strength in reducing communication costs and achieving real-time simulation.

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Section: Introductionmentioning

confidence: 99%