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Conference Papers Year : 2017

Asynchronous Power Flow on Graphic Processing Units

Abstract

Asynchronous iterations can be used to implement fixed-point methods such as Jacobi and Gauss-Seidel on parallel computers with high synchronization costs. However, they are rarely considered in practice due to the low convergence rate. This paper describes an implementation on GPUs of a novel Power Flow analysis model using asynchronous iterations. We present our model for the solution of the Power Flow analysis problem, prove its convergence and evaluate its performance for a GPU execution.
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Dates and versions

lirmm-01475578 , version 1 (23-02-2017)

Identifiers

  • HAL Id : lirmm-01475578 , version 1

Cite

Manuel Marin, David Defour, Federico Milano. Asynchronous Power Flow on Graphic Processing Units. PDP: Parallel, Distributed and network-Based Processing, Mar 2017, St Petersburg, Russia. ⟨lirmm-01475578⟩
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