Elements of Parallel Computing by Eric Aubanel
Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a more abstract view of algorithmic and implementation patterns. The aim is to facilitate the teaching of parallel programming by surveying some key algorithmic structures and programming models, together with an abstract representation of the underlying hardware. The presentation is friendly and informal. The content of the book is language neutral, using pseudocode that represents common programming language models.
The first five chapters present core concepts in parallel computing. SIMD, shared memory, and distributed memory machine models are covered, along with a brief discussion of what their execution models look like. The book also discusses decomposition as a fundamental activity in parallel algorithmic design, starting with a naive example, and continuing with a discussion of some key algorithmic structures. Important programming models are presented in depth, as well as important concepts of performance analysis, including work-depth analysis of task graphs, communication analysis of distributed memory algorithms, key performance metrics, and a discussion of barriers to obtaining good performance.
The second part of the book presents three case studies that reinforce the concepts of the earlier chapters. One feature of these chapters is to contrast different solutions to the same problem, using select problems that aren't discussed frequently in parallel computing textbooks. They include the Single Source Shortest Path Problem, the Eikonal equation, and a classical computational geometry problem: computation of the two-dimensional convex hull. After presenting the problem and sequential algorithms, each chapter first discusses the sources of parallelism then surveys parallel algorithms.
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High Performance Computing
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Peer-to-Peer Computing
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Contemporary High Performance Computing
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Introduction to the Simulation of Dynamics Using Simulink
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Introduction to Scheduling
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Introduction to Reversible Computing
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Grid Computing
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The End of Error
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GPU Parallel Program Development Using CUDA
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Software Engineering for Science
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Parallel Programming with Co-arrays
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Scientific Computing with Multicore and Accelerators
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Data-Intensive Science
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Introduction to Modeling and Simulation with MATLAB (R) and Python
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Introduction to Computational Models with Python
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Every Bit Counts
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Introduction to High Performance Computing for Scientists and Engineers
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Fundamentals of Parallel Multicore Architecture
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Programming for Hybrid Multi/Manycore MPP Systems
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Computational Methods in Plasma Physics
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Unmatched
| SKU | Unavailable |
| ISBN 13 | 9781498727891 |
| ISBN 10 | 1498727891 |
| Title | Elements of Parallel Computing |
| Author | Eric Aubanel |
| Series | Chapman And Hall Crc Computational Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Inc |
| Year published | 2016-12-06 |
| Number of pages | 238 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |