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Parallel numerical algorithms

Author: T L Freeman; Chris Phillips
Publisher: New York : Prentice Hall, 1992.
Series: Prentice-Hall international series in computer science.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

This study of shared and distributed memory parallel processing computer systems and their use in the solution of numerical problems, covers practical issues associated with the implementation of  Read more...

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Additional Physical Format: Online version:
Freeman, T.L. (T. Len), 1950-
Parallel numerical algorithms.
New York : Prentice Hall, 1992
(OCoLC)645822524
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: T L Freeman; Chris Phillips
ISBN: 0136515975 9780136515975
OCLC Number: 25550820
Description: xi, 315 pages : illustrations ; 24 cm.
Contents: 1. Fundamentals. 1.1. Natural parallelism. 1.2. Evolution of parallel systems. 1.3. Multiprocessor systems. 1.4. Measuring program performance. 1.5. Preparing for parallelism --
2. System support. 2.1. Software overview. 2.2. The programming paradigm. 2.3. Language requirements. 2.4. Parallel extensions to Fortran. 2.5. Parallel languages. 2.6. Program development tools --
3. Numerical libraries. 3.1. The need for libraries. 3.2. The BLAS. 3.3. Implementation of the BLAS. 3.4. Block algorithms. 3.5. Models for parallel libraries --
4. Gaussian elimination: a case study. 4.1. Linear algebra as a basic computational tool. 4.2. Gaussian elimination. 4.3. Matrix factorisation. 4.4. BLAS variants. 4.5. Parallel equation solution --
5. Further linear algebra. 5.1. There is more to life than Gaussian elimination. 5.2. QR factorisation. 5.3. Iterative methods for linear equations. 5.4. Direct methods for sparse matrices. 5.5. The linear least squares problem. 5.6. Eigenvalue/eigenvector problems --
6. Other areas I. 6.1. What other areas and why? 6.2. Numerical integration. 6.3. Nonlinear equations. 6.4. Optimisation --
7. Other areas II. 7.1. Yet more areas. 7.2. Fourier transforms. 7.3. Ordinary differential equations. 7.4. Partial differential equations --
8. Recent developments. 8.1. An ever changing world. 8.2. Developments at Encore and Intel. 8.3. The shared/local divide. 8.4. Virtual shared memory multiprocessors. 8.5. Theory into practice?
Series Title: Prentice-Hall international series in computer science.
Responsibility: T.L. Freeman, C. Phillips.
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