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Unrolling Carry Recurrence

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Two Binary Numbers Grouped into Hex Digits. Block Generate ... xk-2 xk-1. Yields the Partial Sums, s1, s3, s5, ..., sk-1. Next, Even Indexed Sums Computed As: ... – PowerPoint PPT presentation

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Title: Unrolling Carry Recurrence


1
Unrolling Carry Recurrence
2
Carry-Lookahead Equations
3
4-Bit CLA
4
Circuit Structure
5
CLA Complexity
6
Managing CLA Complexity
7
Multilevel CLA Example
8
Radix-16 Addition
  • Two Binary Numbers Grouped into Hex Digits
  • Block Generate and Propagate Signals in Each
    radix-16 Digit
  • Replace c4 Position of CLA Network with Block
    Signals gi,i3 and pi,i3
  • Results in 4-bit Lookahead Carry Generator

9
CLA Design
10
Lookahead Carry Generator
11
Block Generate and Propagate
  • Assume i0 lt i1 lt i2
  • Example g0,3 is Generate Signal of Block
    for bits 0-3
  • Relationships Allow for Merging of Blocks
  • Can Allow Merged Block to Overlap

12
Example Merged LAG
x15-12
y15-12
x11-8
y11-8
x7-4
y7-4
x3-0
y3-0
CLA 3
CLA 2
CLA 1
CLA 0
c12
c8
c4
c0
g15-12
p15-12
g11-8
p11-8
g7-4
p7-4
g3-0
p3-0
s15-12
s11-8
s7-4
s3-0
Lookahead Carry Generator
g15-0
p15-0
13
CLA Latency
14
CLA Architecture
15
Overlapped LAGs
  • Overlap Blocks i1,j1 and i0,j0
  • Relationships Become
  • Useful for Building Trees of Different Shapes

16
CLA With LAG
17
CLA Latency
Example 64-bit CLA in 13 gate levels since 43
64 Generates final carry out for Fig. 6.5
18
Ling Adders
19
Ling Adders Wired OR
20
Block p and g Generators
21
Carry Determination as Prefix Computations
  • Two Contiguous (or Overlapping) Blocks (g?, p?)
    and (g??, p??)
  • Merged Block (g, p) g g?? g?p ?? p
    p? p??
  • Large Group Generates Carry if
  • left group generates carry
  • right group generates and left group propagates

22
Carry Operator,
  • Define Operator Over (g, p) Pairs (g, p) (g?,
    p ?) (g??, p??)
  • g g?? g? p? p p? p??
  • is Associative (g?, p?) (g??, p??)
    (g???, p???) (g?, p?) (g??, p??) (g???,
    p???) (g?, p?) (g??, p??) (g???, p???)

23
Carry Operator, (cont)
  • is NOT Commutative (g?, p?) (g??, p??) ?
    (g??, p??) (g?, p?)
  • This is Easy to See Because g g?? g?p? ?
    g? g?? p??

24
Prefix Adders
25
Carry Determination
  • Assume Adder with NO cIN ci1 g0,i
  • Carry Enters i1 Block iff Generated in Block
    0,i
  • Assume Adder with cIN 1
  • Viewed as Generated Carry from Stage -1 p-1
    0, g-1 cIN
  • Compute g-1,i For All i
  • Formulate Carry Determination as

26
Prefix Computation
27
Prefix Sums Analogy
  • Designs for Prefix Sums Can be Converted to
    Carry Computation
  • Replace Adder with Operator
  • Addition IS Commutative, Order Doesnt Matter
  • Can Group (g, p) In Anyway to Combine Into Block
    Signals (as long as order is preserved)
  • (g, p) Allow for Overlapping Groups, Prefix
    Sums Does Not (sum would contain some values
    added two or times)

28
Prefix Sum Network
(adder levels)
( of adders)
29
Another Way for Prefix Sums
  • Compute the Following Firstx0x1 x2x3
    x4x5 ... xk-2xk-1
  • Yields the Partial Sums, s1, s3, s5, ..., sk-1
  • Next, Even Indexed Sums Computed As s2j
    s2j-1 x2j

30
Alternative Prefix Sum Network
31
Comparison of Prefix Sum Networks
  • First Design Faster lg2(k) versus
    2lg2(k)-2 (levels)
  • First Design has High Fan-out Requirements
  • First Design Requires More Cells (k/2)lg2k
    versus 2k-2-lg2k
  • Second Design is Brent-Kung Parallel Prefix Graph
  • First Design is Kogge-Stone Parallel Prefix Graph
    (fan-out can be avoided by distributing
    computations)

32
Brent-Kung Network
independent,so single delay
33
Kogge-Stone Network
34
Area/Levels of Prefix Networks
35
Hybrid Parallel Prefix Network
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