Wallace Tree

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# Wallace Tree - PowerPoint PPT Presentation

Wallace Versus Dadda Trees. Reduce the Number of Operands at Earliest Opportunity. m Dots ... A Solitary 1 in a Column is Replaced by a +1 in That. Column and a 1 ...

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## Wallace Tree

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Presentation Transcript
Wallace Tree
• Previous Example is 7 Input Wallace Tree
• n-input Wallace Tree Reduces k-bit Inputs to Two (k + log2n - 1)-bit Outputs
• CSA Reduces Number of Operands by Factor of 1.5
• Smallest Height h(n) For an n-input Tree Can be Given by a Recurrence Relation
Wallace Tree
• h(n)=1+h(2n/3)
• Ignoring Ceiling Operator Write as: h(n)=1+h(2n/3)
• Can Get Lower Bound on Tree Height: h(n)log1.5(n/2)
• Equality for n=2, 3 only
Wallace Tree Height
• Can Also Consider n(h) – Number of Inputs for a Tree of Height h
• Recurrence is: n(h) = 3n(h-1)/2
• Ignoring Floor Operator Can get Bounds
• Lower Bound: n(h) > 2(3/2)h-1
• Upper Bound: n(h) < 2(3/2)h
• Exact Values for 0  h  20 in Table
• Reduce the Number of Operands at Earliest Opportunity
• m Dots Per Column – Apply m/3 Full Adders to Column
• Tends to Minimize Overall Delay by Making CPA CPA as Short as Possible
• Delay of Fast CPA is Generally Not Smoothly Increasing Function of Word Width
• EXAMPLE: CLA Has Essentially Same Delay for Widths of 17-32 Bits
• Dadda Tree Reduces Number of Operands to Next Lower Number USing the Fewest FAs and HAs as Possible
• Justification is No Need to Reduce Number of Operands to Next Lower n(h) in Tree Since A Faster Tree Would Not Result
Parallel Counters
• Single-bit Full Adder Referred to as (3:2) Counter (or Compressor)
• Meaning is it “Counts” the Ones in 3 Input Bits
• Can be Generalized to (n : log2(n+1) Counter
• Has n Inputs
• Produces a log2(n+1)-bit Binary Output Representing the Number of 1’s Among the n Inputs
• Next Example Shows a (10:4) Counter
Generalized Parallel Counters
• Parallel Counter Reduces Number of Dots in a Column (same Radix Position)
• Output Dots are Placed into Different Positions (one each)
• Can Generalize This Notion
• Generalized Parallel Counter Receives “Dot Patterns” as Input (not Necessarily in Same Bit Position)
• Converts Them to Other Dot Patterns (not Necessarily one in Each Column)
• If Output Dot Pattern Has Fewer Dots Than Input, the Counter is a Compressor and Can be Used for a Tree
Generalized Parallel Counters
• Characterized by Number of Dots in Each Input Column and Output Column
• Book Limits to Class of Counters that Output a Single Dot in Each Column
• Limitation Allows Output to be Characterized by Single Integer Representing Number of Columns Spanned by Output
• Input Side is Characterized by Integer Sequence Corresponding to Number of Inputs in Various Columns
(5,5 : 4) Parallel Counter
• Dot Notation for (5,5 : 4) Counter
• (5,5 : 4) Counters to Compress 5 Numbers to 2 Numbers
• Can Have Other Forms, eg. ( 4,6 : 4) Counter
• Receives 6 bits of weight 1 and 4 bits of weight 2
• Delivers the Weighted Sum in the Form of a 4-bit Binary Number
• This Type Requires Sum of Output Weights to Equal or Exceed Sum of Input Weights
Generalized Parallel Counters
• Powerful Concept – 4-bit Binary Full Adder Can be Viewed as (2,2,2,3 : 5)-counter
• Goal is to Reduce n Numbers to 2 Numbers in Carry-Save Adder
• Sometimes Notation of (n : 2)-counter is Used Although it Strictly Doesn’t Make Sense for n > 3
• (n : 2)-counter is Shorthand Notation for a Slice of a Circuit
• When Slice is Replicated, n Values are Reduced to 2 Values
• Slice i Receives n Input Bits in Position i Plus Transfer (or Carry) Bits From One or More Positions to Right (i-1, i-2, etc.)
• Slice i Produces Output Bits in Positions i and i+1 Plus Transfer Digits Into Higher Positions (i+1, i+2, etc.)
• yj Denotes Number of Transfer bits From Slice i to i+j
(n : 2) Parallel Counters
• Must Satisfy This Inequality for Scheme to Work
• 3 Represents Maximum of 2 Output Bits
• eg. (7 : 2)-counter can be Built Allowing y1=1 - Transfer bit From Position i to i+1 and y2=2 - Transfer bit into Position i+2
• Must Sign Extend 2’s Complement Numbers to Final Result Width
• Appears Sign Extension Could Dramatically Increase Complexity of CSA Tree for Large n
• Trick is to Take Advantage of Fact that all Sign Extension bits are Identical
• Use a Single Full Adder to do Job of Several Full Adders
• Allows CSA Internal Widths to be Marginally Increased
Hardware Sharing Method

Single Full Adder Used Here With Result Fanned Out

Negative Weight Interpretation
• Recall That 2’s Complement Values May be Interpreted as:
• Replace Negative Sign Bit by it’s Complement and Put a -1 in Sign Column
• Multiple –1’s Can be Combined Each Pair Placed in –1 in Next Higher Column
• A Solitary –1 in a Column is Replaced by a +1 in That Column and a –1 in the Next Higher Column
Negative Weight Interpretation
• Complement Three Sign Bits and Place –1’s in Sign Column
• Replace Three –1’s by a +1 in Sign Position and Two –1’s in Next Higher Position
• These Two –1’s are Removed and Single –1 is Inserted in Position k+1
• Latter –1 is in Turn Replaced by a +1 in Position k+1 and a –1 in Position k+2
• Finally a –1 Moves Out of the Resultant Sum Width and the Procedure Stops