Muutke küpsiste eelistusi

E-raamat: Arithmetic Optimization Techniques for Hardware and Software Design

(University of California, San Diego), (University of California, Santa Barbara), (Stanford University, California)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-May-2010
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9780511718083
  • Formaat - PDF+DRM
  • Hind: 95,08 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
  • Formaat: PDF+DRM
  • Ilmumisaeg: 06-May-2010
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9780511718083

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

"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"--Provided by publisher.

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 new-comers 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.

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.

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

Muu info

Obtain better system performance, lower power consumption, and avoid hand-coding arithmetic functions with this concise guide to automated optimization techniques.
List of abbreviations
vii
Preface ix
1 Introduction
1(8)
1.1 Overview
1(4)
1.2 Salient features of this book
5(1)
1.3 Organization
6(1)
1.4 Target audience
7(2)
2 Use of polynomial expressions and linear systems
9(12)
2.1
Chapter overview
9(1)
2.2 Approximation algorithms
9(1)
2.3 Computer graphics
10(2)
2.4 Digital signal processing (DSP)
12(4)
2.5 Cryptography
16(1)
2.6 Address calculation in data intensive applications
17(2)
2.7 Summary
19(2)
3 Software compllation
21(14)
3.1
Chapter overview
21(1)
3.2 Basic software compiler structure
21(4)
3.3 Algebraic transformations in optimizing software compilers
25(8)
3.4 Summary
33(2)
4 Hardware synthesis
35(33)
4.1
Chapter overview
35(1)
4.2 Hardware synthesis design flow
35(3)
4.3 System specification
38(1)
4.4 Program representation
39(5)
4.5 Algorithmic optimization
44(1)
4.6 Resource allocation
45(4)
4.7 Operation scheduling
49(7)
4.8 Resource binding
56(2)
4.9 Case study: FIR filter
58(5)
4.10 Summary
63(5)
5 Fundamentals of digital arithmetic
68(27)
5.1
Chapter overview
68(1)
5.2 Basic number representation
68(7)
5.3 Two-operand addition
75(7)
5.4 Multiple-operand addition
82(11)
5.5 Summary
93(2)
6 Polynomial expressions
95(31)
6.1
Chapter overview
95(1)
6.2 Polynomial expressions
95(1)
6.3 Problem formulation
96(1)
6.4 Related optimization techniques
96(3)
6.5 Algebraic optimization of arithmetic expressions
99(14)
6.6 Experimental results
113(4)
6.7 Optimal solutions for reducing the number of operations in arithmetic expressions
117(6)
6.8 Summary
123(3)
7 Linear systems
126(56)
7.1
Chapter overview
126(1)
7.2 Linear system basics
126(3)
7.3 Problem formulation
129(1)
7.4 Single-constant multiplication (SCM)
130(3)
7.5 Multiple-constant multiplication (MCM)
133(7)
7.6 Overview of linear system optimizations
140(2)
7.7 Transformation of a linear system into a polynomial expression
142(1)
7.8 Optimization for synthesis using two-operand adders
143(4)
7.9 FIR filter optimization
147(11)
7.10 Synthesis for multiple-operand addition
158(6)
7.11 Delay-aware optimization
164(10)
7.12 Software optimization
174(4)
7.13 Summary
178(4)
Index 182
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. Anup Hosangadi is a R&D Engineer in the Emulation Group at Cadence Design Systems, Inc. He received his Ph.D. in Computer Engineering from the University of California, Santa Barbara, in 2006 and his research interests include high-level synthesis, combinatorial optimization, and computer arithmetic. Farzan Fallah is currently an Engineer Director at Envis Corporation, Santa Clara. He received his Ph.D. in Electrical Engineering and Computer Science from MIT in 1999, after which he worked as a Project Leader at Fujitsu Labs of America in Sunnyvale until 2008. Farzan has published over 60 papers and has 20 patents granted or pending. He has received a Best Paper Award at the Design Automation Conference in 1998 and a Best Paper Award at the VLSI Design Conference in 2005. He is currently the co-chair of the Low Power Technical Committee of ACM SIGDA and an associate editor of the ACM Transactions on Design Automation of Electronic Systems.