Titlebook: Numerical Solution of Partial Differential Equations on Parallel Computers; Are Magnus Bruaset,Aslak Tveito Conference proceedings 2006 Sp

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書(shū)目名稱Numerical Solution of Partial Differential Equations on Parallel Computers讀者反饋學(xué)科排名

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Partitioning and Dynamic Load Balancing for the Numerical Solution of Partial Differential Equationsness of this distribution greatly influences the performance of a parallel simulation. Decompositions that balance processor loads while keeping the application’s communication costs low are preferred. Although a wide variety of partitioning and load-balancing algorithms have been developed, their e

GLADE

Graphics Processor Units: New Prospects for Parallel Computingavailable functionality and the programming model. Simple examples and references to freely available tools and resources motivate the reader to explore these new possibilities. An overview of the different applications of GPUs demonstrates their wide applicability, yet also highlights limitations o

Relinquish

Domain Decomposition Techniquesion of partial differential equations by finite elements or finite volumes. We first give an overview of algebraic domain decomposition techniques. We then introduce a preconditioner based on a multilevel approximate Schur complement system. Then we present a Schwarz-based preconditioner augmented b

Ligament

合群

Parallel Algebraic Multigrid Methods — High Performance Preconditionersated the development of scalable solvers and preconditioners. One of the most effective ways to achieve scalability is the use of multigrid or multilevel techniques. Algebraic multigrid (AMG) is a very efficient algorithm for solving large problems on unstructured grids. While much of it can be para

鋼筆尖

HILAR

The Design and Implementation of ,, a Library of Parallel High Performance Preconditionersmputers. One of its attractive features is the provision of .. These interfaces give application users a more natural means for describing their linear systems, and provide access to methods such as geometric multigrid which require additional information beyond just the matrix. This chapter discuss

監(jiān)禁

Parallelizing PDE Solvers Using the Python Programming Languagesolvers for partial differential equations (PDEs)? We divide our investigation into two aspects, namely (1) the achievable performance of a parallel program that extensively uses Python programming and its associated data structures, and (2) the Python implementation of generic software modules for

調(diào)色板

Parallel PDE-Based Simulations Using the Common Component Architecture. A goal of component- based software engineering in such large-scale simulations is to help manage this complexity by enabling better interoperability among various codes that have been independently developed by different groups. The Common Component Architecture (CCA) Forum is defining a componen