CSE 246: Computer Arithmetic Algorithms and Hardware Design - PowerPoint PPT Presentation

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CSE 246: Computer Arithmetic Algorithms and Hardware Design

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Low power logic styles. Reconfigurable blocks. Low power data path components ... Classic problems well defined. Advancements will have a huge impact ... – PowerPoint PPT presentation

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Title: CSE 246: Computer Arithmetic Algorithms and Hardware Design


1
CSE 246 Computer Arithmetic Algorithms and
Hardware Design
Fall 2006 Lecture 1 Introduction and Numbers
  • Instructor
  • Prof. Chung-Kuan Cheng

2
Agenda
  • Administration
  • Motivation
  • Lecture 1 Numbers

3
Administration
  • Textbook Computer Arithmetic Algorithms and
    Hardware Designs, Behrooz Parhami, Oxford
  • Recommended Art of Computer Programming, Volume
    2, Seminumerical Algorithms (3rd Edition), Donald
    E. Knuth
  • Numerical Computing with IEEE Floating Point
    Arithmetic, Michael L. Overton, SIAM
  • Computer Arithmetic Algorithms, Israel Koren, A K
    Peters, Natick, Massachusetts
  • Digital Arithmetic, Milos D. Ercegovac and Tomas
    Lang, Morgan Kaufmann
  • CMOS VLSI Design, Neil H.E. Weste and David
    Harris, Addison Wesley
  • Principles and Practices of Interconnection
    Networks, William James Dally and Brian Towles,
    Morgan Kaufmann
  • In addition set of papers to read

4
Administration
  • No classes on the following days
  • Tu 10/17 BIBE
  • Tu 10/24 EPEP
  • Tu 11/7 ICCAD

5
Administration
  • Grading
  • Homework 20
  • Midterm 35
  • Project
  • Report 25
  • Presentation 20
  • Midterm Thursday, 10/2/06

6
Administration
  • Potential project samples
  • Interconnect and switch modules
  • Data path components using FPGAs, nano
    technologies
  • Low power logic styles
  • Reconfigurable blocks
  • Low power data path components
  • Low power/reliable coding systems

7
Agenda
  • Administration
  • Motivation
  • Lecture 1 Numbers

8
Motivation
  • Why do we care about arithmetic algorithms and
    hardware design?
  • Classic problems well defined
  • Advancements will have a huge impact
  • Solutions will be widely used
  • New paradigms
  • Interconnect effects clock, control, bus, signal
  • Low power designs
  • Wider bit width
  • Reliability centric designs
  • FPGAs and nano technologies

9
Motivation
  • Should a new business focus on building market or
    new technology?
  • New technology a market will be built around new
    technology

10
Topics
  • Numbers
  • Binary numbers, negative numbers, redundant
    numbers, residual numbers
  • Addition/Subtraction
  • Prefix adders (zero deficiency)
  • Multiplication/Division
  • Floating point operations
  • Functions (sqrt),log, exp, CORDIC
  • Optimization, analysis, fault tolerance

11
Other Topics
  • Potential focus on the following topics
  • Power reduction
  • Interconnect
  • FPGAs

12
Goals/Background
  • Why do you want to take this class? What would
    you like to learn?
  • Fulfill course requirement
  • Hardware
  • Software
  • Work
  • Research
  • Curiosity

13
Agenda
  • Administration
  • Motivation
  • Lecture 1 Numbers

14
Numbers
  • Special Symbols
  • Symbols used to represent a value
  • Roman Numerals
  • 1 I 100 C
  • 5 V 500 D
  • 10 X 1000 M
  • 50 L
  • For example 2004 MMIV

15
Numbers
  • Position Symbols
  • The value depends on the position of the number
  • For example
  • 125 100 20 5
  • One 100, Two 10s, and Five 1s
  • Another example
  • 1 hour, 3 minutes
  • Positional systems includes radixes
  • 2, -2, 2, 2j (imaginary)

16
Numbers
  • Summation of positional numbers
  • Given
  • Value is (where y is the base)
  • For example
  • Consider

4 -2 1
0 0 0 0 0 1 0 1 0 0 1 1 1 0 0 1 0 1 1 1 0 1 1 1 0 1 -2 -1 4 5 2 3
  • Note that position systems provide a complete
    range of numbers (e.g. 2 to 5)

17
Numbers (Radix Conversion)
(xk-1, , x0 . X-1, , x-l)r(XK-1, , X0 . X-1,
, X-L)R
  • Repeatedly divide the integer by (R)r
  • Repeatedly multiply the fraction by (R)r
  • Example
  • (201.31)10(13001.123)5

18
Numbers
  • Avoid Division (Montgomory System)
  • Simplify Mod operation
  • mod r-1, mod r1

Example 29110 mod 9 291 mod 9 12 mod 9
3 29110 mod 11 2-91mod 11 -6 mod 11 5
19
Signed Numbers
  • Biased numbers
  • Signed Bit
  • Complementary representation
  • Positive number x (mod p)
  • Negative number (M-x) (mod p)
  • (Note mod p is added implicitly)
  • Ones complement Twos complement

0 0 0 1 0 1
1 0 1 1 -1 -0
0 0 0 1 0 1
1 0 1 1 -2 -1
M2n-1
M2n
Flip each bit
Flip each bit 1
  • Twos complement can be used for subtraction

20
Signed Numbers
  • Twos complement subtraction
  • (M-xM-y) mod M M-(xy)
  • Twos complement conversion
  • Positive number
  • To negative

21
Signed Numbers
  • Twos complement

Proof as follows Which leads to
Example
0 0 0 0 0 1 0 1 0 0 1 1 1 0 0 1 0 1 1 1 0 1 1 1 0 1 2 3 -4 -3 -2 -1
22
Next time
  • Talk about redundant numbers
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