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From the Publisher: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 several 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: Polynomial evaluationComplex arithmeticQuad-precision arithmeticSoftware pipelining, to include register rotation and modulo-scheduled loop supportSIMD instructionsInterval arithmeticFast-Fourier Transformation (FFT) algorithmsNumerical linear algebra and basic linear algebra subprograms(BLAS)Vector Math Library (VML)Cryptography