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Arithmetic Optimization Techniques for Hardware and Software Design

Arithmetic Optimization Techniques for Hardware and Software Design

Arithmetic Optimization Techniques for Hardware and Software Design

Ryan Kastner, University of California, San Diego
Anup Hosangadi, University of California, Santa Barbara
Farzan Fallah, Stanford University, California
May 2010
Hardback
9780521880992
AUD$135.41
exc GST
Hardback
USD
eBook

    Obtain better system performance, lower energy consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques for hardware and software design. High-level compiler optimizations and high-speed architectures for implementing FIR filters are covered, which can improve performance in communications, signal processing, computer graphics, and cryptography. Clearly explained algorithms and illustrative examples throughout make it easy to understand the techniques and write software for their implementation. Background information on the synthesis of arithmetic expressions and computer arithmetic is also included, making the book ideal for newcomers to the subject. This is an invaluable resource for researchers, professionals, and graduate students working in system level design and automation, compilers, and VLSI CAD.

    • Provides automated techniques for optimizing arithmetic expressions so designers can avoid coding the functions by hand
    • Includes background information on the synthesis of arithmetic expressions and computer arithmetic, making the book ideal for newcomers to the subject
    • Clearly explained algorithms and illustrative examples make it easy to understand and implement the techniques

    Product details

    May 2010
    Adobe eBook Reader
    9780511718083
    0 pages
    0kg
    13 tables
    This ISBN is for an eBook version which is distributed on our behalf by a third party.

    Table of Contents

    • Preface
    • 1. Introduction
    • 2. Use of polynomial expressions and linear systems
    • 3. Software compilation
    • 4. Hardware synthesis
    • 5. Fundamentals of digital arithmetic
    • 6. Polynomial expressions
    • 7. Linear systems.