International audienceAsynchronous 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
This letter proposes a superior GPU-accelerated algorithm for probabilistic power flow (PPF) based o...
Abstract — Graphics processing units (GPUs) have recently attracted a lot of interest in several fie...
With the development of advanced power system controls, the industrial and research community is bec...
This thesis addresses the utilization of Graphics Processing Units (GPUs) to improve the Power Flow ...
In this paper, we analyze the potential of asynchronous relaxation methods on Graphics Processing Un...
The power grid is a complex network interconnecting energy sources with loads. The power flow and s...
AbstractThis paper explores the need for asynchronous iteration algorithms as smoothers in multigrid...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
Abstract This paper explores the need for asynchronous iteration algorithms as smoothers in multigri...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
We introduce Harmonic CUDA, a dataflow programming model for GPUs that allows programmers to describ...
We present an efficient model to analyze and improve the performance of general-purpose computation ...
reformulate the power flow equations into a set of ordinary differential equations, whose equilibriu...
Asynchronous iterations arise naturally on parallel computers if one wants to minimize idle times. T...
This paper explores the need for asynchronous iteration algorithms as smoothers in multigrid methods...
This letter proposes a superior GPU-accelerated algorithm for probabilistic power flow (PPF) based o...
Abstract — Graphics processing units (GPUs) have recently attracted a lot of interest in several fie...
With the development of advanced power system controls, the industrial and research community is bec...
This thesis addresses the utilization of Graphics Processing Units (GPUs) to improve the Power Flow ...
In this paper, we analyze the potential of asynchronous relaxation methods on Graphics Processing Un...
The power grid is a complex network interconnecting energy sources with loads. The power flow and s...
AbstractThis paper explores the need for asynchronous iteration algorithms as smoothers in multigrid...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
Abstract This paper explores the need for asynchronous iteration algorithms as smoothers in multigri...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
We introduce Harmonic CUDA, a dataflow programming model for GPUs that allows programmers to describ...
We present an efficient model to analyze and improve the performance of general-purpose computation ...
reformulate the power flow equations into a set of ordinary differential equations, whose equilibriu...
Asynchronous iterations arise naturally on parallel computers if one wants to minimize idle times. T...
This paper explores the need for asynchronous iteration algorithms as smoothers in multigrid methods...
This letter proposes a superior GPU-accelerated algorithm for probabilistic power flow (PPF) based o...
Abstract — Graphics processing units (GPUs) have recently attracted a lot of interest in several fie...
With the development of advanced power system controls, the industrial and research community is bec...