Combinatorial Scientific Computing

By: Uwe Naumann (Editor), Olaf Schenk (Editor)

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Hardcover | 25 January 2012 | Edition Number 1

At a Glance

Hardcover
602 Pages

Dimensions(cm)
23.39 x 15.6 x 3.33

Hardcover

$494.75

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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.

Industry Reviews

"This text is a deep and--as any scientist working with large datasets will tell you--much-needed treatment of an emerging field, focused specifically on large-scale computing. It is readable and practical, and covers areas that have many open problems, making it an excellent resource both for scientific researchers looking for solutions and computing researchers looking for computational and combinatoric problems to solve." - Computing Reviews, May 2013

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