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Combinatorial Scientific Computing

- Book -
 

Author(s)

Editor(s)
Uwe Naumann, Olaf Schenk

Year
2012

Publisher
Chapman and Hall/CRC

Abstract
Combinatorial Scientific Computing explores the latest research on creating algorithms and software tools to solve key combinatorial problems on large-scale high-performance computing architectures. It includes contributions from international researchers who are pioneers in designing software and applications for high-performance computing systems. The book offers a state-of-the-art overview of the latest research, tool development, and applications. It focuses on load balancing and parallelization on high-performance computers, large-scale optimization, algorithmic differentiation of numerical simulation code, sparse matrix software tools, and combinatorial challenges and applications in large-scale social networks. The authors unify these seemingly disparate areas through a common set of abstractions and algorithms based on combinatorics, graphs, and hypergraphs. Combinatorial algorithms have long played a crucial enabling role in scientific and engineering computations and their importance continues to grow with the demands of new applications and advanced architectures. By addressing current challenges in the field, this volume sets the stage for the accelerated development and deployment of fundamental enabling technologies in high-performance scientific computing.

AD Theory and Techniques
General

BibTeX
@BOOK{
         Naumann2012CSC,
       editor = "Uwe Naumann and Olaf Schenk",
       title = "Combinatorial Scientific Computing",
       publisher = "Chapman and Hall/CRC",
       year = "2012",
       series = "Computational Science Series",
       address = "Boca Raton, FL, USA",
       abstract = "Combinatorial Scientific Computing explores the latest research on creating
         algorithms and software tools to solve key combinatorial problems on large-scale high-performance
         computing architectures. It includes contributions from international researchers who are pioneers
         in designing software and applications for high-performance computing systems. The book offers a
         state-of-the-art overview of the latest research, tool development, and applications. It focuses on
         load balancing and parallelization on high-performance computers, large-scale optimization,
         algorithmic differentiation of numerical simulation code, sparse matrix software tools, and
         combinatorial challenges and applications in large-scale social networks. The authors unify these
         seemingly disparate areas through a common set of abstractions and algorithms based on
         combinatorics, graphs, and hypergraphs. Combinatorial algorithms have long played a crucial enabling
         role in scientific and engineering computations and their importance continues to grow with the
         demands of new applications and advanced architectures. By addressing current challenges in the
         field, this volume sets the stage for the accelerated development and deployment of fundamental
         enabling technologies in high-performance scientific computing.",
       isbn = "978--1--439827352",
       url = "http://www.crcpress.com/product/isbn/9781439827352",
       ad_theotech = "General"
}


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