Parallel Vector Equation Solvers for Finite Element Engineering Applications
With the increasing complexity of finite element models, the need for efficient and scalable solvers for the resulting systems of linear equations is becoming increasingly important. Parallel vector equation solvers offer a promising approach to meeting this need, by distributing the computational work across multiple processors.
This book provides a comprehensive overview of the theory and practice of parallel vector equation solvers for finite element engineering applications. It covers a wide range of topics, including:
4.7 out of 5
Language | : | English |
File size | : | 4584 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 365 pages |
- The basics of parallel computing
- The different types of parallel vector equation solvers
- The advantages and disadvantages of each type of solver
- The performance of parallel vector equation solvers on a variety of finite element models
This book is written for engineers and scientists who are interested in using parallel computing to solve finite element problems. It is also a valuable resource for researchers who are working on the development of new parallel vector equation solvers.
Table of Contents
- to Parallel Computing
- The Basics of Parallel Vector Equation Solvers
- Types of Parallel Vector Equation Solvers
- Advantages and Disadvantages of Each Type of Solver
- The Performance of Parallel Vector Equation Solvers
- Applications of Parallel Vector Equation Solvers
- Future Directions in Parallel Vector Equation Solving
Excerpt from Chapter 1
to Parallel Computing
Parallel computing is a form of computing that uses multiple processors to solve a computational problem. This can be done by dividing the problem into smaller subproblems, each of which is solved by a different processor. The results of the subproblems are then combined to produce the final solution.
There are many different types of parallel computers, ranging from small multi-core processors to large supercomputers. The type of parallel computer that is best for a particular application depends on the size of the problem, the amount of data that needs to be processed, and the desired level of performance.
Parallel computing can offer significant performance advantages over traditional sequential computing. However, it is important to note that parallel computing is not always the best approach for every problem. In some cases, it may be more efficient to use a sequential algorithm on a single processor.
Parallel vector equation solvers are a powerful tool for solving large-scale finite element problems. They can offer significant performance advantages over traditional sequential solvers, and they are becoming increasingly important as finite element models become more complex.
This book provides a comprehensive overview of the theory and practice of parallel vector equation solvers for finite element engineering applications. It is a valuable resource for engineers and scientists who are interested in using parallel computing to solve finite element problems, and it is also a valuable resource for researchers who are working on the development of new parallel vector equation solvers.
4.7 out of 5
Language | : | English |
File size | : | 4584 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 365 pages |
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4.7 out of 5
Language | : | English |
File size | : | 4584 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 365 pages |