This paper develops an aggregation-based algebraic multigrid (AbAMG) method to efficiently analyze the power grids. Differ-ent from the conventional algebraic multigrid (AMG) scheme, an innovative constructing method of global inter-grid mapping operator is employed to not only enhance the sparsity of coarse grid operator for reducing the computational complexity but also solve the problem with better convergent rate. The proposed method can solve the circuit with size over two millions in 167.6 CPU seconds (including DC analysis, and transient analysis with 50 time steps), and the maximum error is less than 1%. The significant runtime improvement, over 26X faster than the In-ductWise [1] and over 1.25X faster than the conventional AMG meth...
Abstract. Algebraic Multigrid (AMG) methods were developed originally for nu-merically solving Parti...
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains ...
In this paper, we examine deflation-based algebraic multigrid methods for solving large systems of l...
The continuing VLSI technology scaling leads to increasingly significant power supply fluctuations, ...
Abstract — Modern sub-micron VLSI designs include huge power grids that are required to distribute l...
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least ...
Modern sub-micron VLSI designs include huge power grids that are required to distribute large amount...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
The continuously changing structure of power systems and the inclusion of renewableenergy sources ar...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract-The challenging task of analyzing on-chip power (ground) distribution networks with multi-m...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
Thesis (Ph.D.)--University of Washington, 2014The interests of this thesis are twofold. First, a two...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
Abstract. We design and implement a parallel algebraic multigrid method for isotropic graph Laplacia...
Abstract. Algebraic Multigrid (AMG) methods were developed originally for nu-merically solving Parti...
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains ...
In this paper, we examine deflation-based algebraic multigrid methods for solving large systems of l...
The continuing VLSI technology scaling leads to increasingly significant power supply fluctuations, ...
Abstract — Modern sub-micron VLSI designs include huge power grids that are required to distribute l...
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least ...
Modern sub-micron VLSI designs include huge power grids that are required to distribute large amount...
In the last two decades, substantial effort has been devoted to solve large systems of linear equati...
The continuously changing structure of power systems and the inclusion of renewableenergy sources ar...
In modern large-scale supercomputing applications, Algebraic Multigrid (AMG) is a leading choice for...
Abstract-The challenging task of analyzing on-chip power (ground) distribution networks with multi-m...
We present an efficient, robust and fully GPU-accelerated aggregation-based al-gebraic multigrid pre...
Thesis (Ph.D.)--University of Washington, 2014The interests of this thesis are twofold. First, a two...
In this paper, we develop a new parallel auxiliary grid algebraic multigrid (AMG) method to leverage...
Abstract. We design and implement a parallel algebraic multigrid method for isotropic graph Laplacia...
Abstract. Algebraic Multigrid (AMG) methods were developed originally for nu-merically solving Parti...
Leveraging the power of nowadays graphics processing units for robust power grid simulation remains ...
In this paper, we examine deflation-based algebraic multigrid methods for solving large systems of l...