Arithmetic Optimization Techniques for Hardware and Software Design

Obtain better system performance, lower power consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques.

Ryan Kastner (Author), Anup Hosangadi (Author), Farzan Fallah (Author)

9780521880992, Cambridge University Press

Hardback, published 6 May 2010

200 pages, 13 tables
25.4 x 18 x 1.5 cm, 0.55 kg

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.

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.

Subject Areas: Circuits & components [TJFC], Electronics engineering [TJF], Electrical engineering [THR], Engineering: general [TBC]