Parallel Algorithms by Henri Casanova
Focusing on algorithms for distributed-memory parallel architectures, this book covers theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling.-
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A Gentle Introduction to Scientific Computing
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Particle Swarm Optimisation
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A Concise Introduction to Image Processing using C++
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Computational Fluid Dynamics
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Handbook of Sinc Numerical Methods
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Stochastic Navier-Stokes Equations on Spheres and Spherical Shells
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Theoretical and Computational Fluid Mechanics
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Designing Scientific Applications on GPUs
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Numerical Methods and Optimization
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Coupled Systems
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Introduction to Computational Engineering with MATLAB®
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Mathematical Objects in C++
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Classical and Modern Numerical Analysis
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Computational Methods for Numerical Analysis with R
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Discrete Dynamical Systems and Chaotic Machines
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Discrete Variational Derivative Method
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Stochastic Methods in Scientific Computing
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Numerical Methods for Unsteady Compressible Flow Problems
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The Sequential Quadratic Hamiltonian Method
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Numerical Techniques for Direct and Large-Eddy Simulations
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Iterative Splitting Methods for Differential Equations
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Numerical Methods for Fractional Calculus
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Decomposition Methods for Differential Equations
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Mathematics at the Meridian
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Defect Correction Methods for Fluid Flows at High Reynolds Numbers
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Entropies and Fractionality
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"…The authors of the present book, who have extensive credentials in both research and instruction in the area of parallelism, present a sound, principled treatment of parallel algorithms… This book is very well written and extremely well designed from an instructional point of view. … The authors have created an instructive and fascinating text. The book will serve researchers as well as instructors who need a solid, readable text for a course on parallelism in computing. Indeed, for anyone who wants an understandable text from which to acquire a current, rigorous, and broad view of parallel algorithms, including the principles for their design, development, and analysis, this book is highly recommended."
—SIAM Review, Vol. 52, No. 1, 2010
"… It extracts the main ideas and principles of parallel algorithms developed over the last few decades. … the authors perfectly explain not only homogeneous models (which are everyday problems on clusters of identical nodes) but also load balancing on heterogeneous platforms (connecting different clusters or many different workstations). This book can serve as a very good teaching book or a source of useful material for graduate students and researchers in parallel distributed memory architectures. It contains many schemes, diagrams, and pictures for better understanding, including many practical examples, case studies, and exercises."
—EMS Newsletter, June 2009
"Parallel Algorithms is a text meant for those with a desire to understand the theoretical underpinnings of parallelism from a computer science perspective. … [it provides] the tools you need to continue on a rigorous research track into the computer science aspects of parallel computing. … those motivated to work through the text will be rewarded with a solid foundation for the study of parallel algorithms."
—John West, HPCwire, April 2009
Henri Casanova, Arnaud Legran, Yves Robert
| SKU | Unavailable |
| ISBN 13 | 9781584889458 |
| ISBN 10 | 1584889454 |
| Title | Parallel Algorithms |
| Author | Henri Casanova |
| Series | Chapman And Hall Crc Numerical Analysis And Scientific Computing Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Inc |
| Year published | 2008-07-17 |
| Number of pages | 352 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |