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by Marius Cornea, Ping Tak Peter Tang, and John Harrison |
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Written for professionals who need to write, port, or maintain reliable, accurate, and efficient numerical software for the Itanium® architecture, Scientific Computing on Itanium®-based Systems shows you how to construct key numerical infrastructure and application programs.
This book describes the crucial techniques required for stability and reliability in developing numerical kernels and applications. Through numerous tested examples, the authors explain how you can get the most from the 64-bit architecture. This combination of explanation with example helps you to make difficult computations more easily and to increase the performance of your numerical software.
This book provides examples to solve problems encountered in scientific and engineering computations, such as:
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 | Polynomial evaluation |
| Complex arithmetic |
| Quad-precision arithmetic |
| Software pipelining, to include register rotation and modulo-scheduled loop support |
| SIMD instructions |
| Interval arithmetic |
| Fast-Fourier Transformation (FFT) algorithms |
| Numerical linear algebra and basic linear algebra subprograms (BLAS) |
| Vector Math Library (VML) |
| Cryptography
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"With the increasing availability of Itanium®-based platforms, the scientific computing community will welcome this book."
- Professor Zhaojun Bai, Department of Computer Science, University of California at Davis
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Marius Cornea, John Harrison, and Peter Tang are Intel Technology experts, bringing you up-to-date information on the Intel® Itanium® 2 Processor. They are specialists in algorithm design, exception handling, and formal validation of numerical software. In this book, they share with you the results of their combined research for 32- and 64-bit architecture.
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