Ryan Kastner

Arithmetic Optimization Techniques for Hardware and Software Design (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 6. Mai 2010
• Englisch
• ISBN-13: 9780511846731
• Artikelnr.: 52956442

Autorenporträt

Ryan Kastner is an Associate Professor in the Department of Computer Science and Engineering at the University of California, San Diego. He received his Ph.D. in Computer Science from UCLA in 2002 and has since published over 90 technical papers and two books. His current research interests are in embedded system design, particularly the use of reconfigurable computing devices for digital signal processing.

Inhaltsangabe

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.